.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_revalidation/gait_sequences/_01_gsd_analysis.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_revalidation_gait_sequences__01_gsd_analysis.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_revalidation_gait_sequences__01_gsd_analysis.py:


.. _gsd_val_results:

Performance of the gait sequences algorithm on the TVS dataset
==============================================================

The following provides an analysis and comparison of the GSD performance on the TVS dataset (lab and free-living).
We look into the actual performance of the algorithms compared to the reference data and compare these results with
the performance of the original matlab algorithm.

.. note:: If you are interested in how these results are calculated, head over to the
   :ref:`processing page <gsd_val_gen>`.

We focus on the `single_results` (aka the performance per trail) and will aggregate it over multiple levels.

.. GENERATED FROM PYTHON SOURCE LINES 19-25

Below are the list of algorithms that we will compare.
Note, that we use the prefix "MobGap" to refer to the reimplemented python algorithms and "Original Implementation"
to refer to the original matlab algorithms.
In case of the GsdIluz algorithm, we also have two reimplemented versions.
The version `MobGap` uses a slightly modified peak detection algorithm, while the version `MobGap (original peak)`
tries to emulate the original peak detection algorithm as closely as possible.

.. GENERATED FROM PYTHON SOURCE LINES 25-43

.. code-block:: Python

    algorithms = {
        "GsdIonescu": ("GsdIonescu", "MobGap"),
        "GsdAdaptiveIonescu": ("GsdAdaptiveIonescu", "MobGap"),
        "GsdIluz": ("GsdIluz", "MobGap"),
        "GsdIluz_orig_peak": ("GsdIluz", "MobGap (original peak)"),
    }
    # We only load the matlab algorithms that were also reimplemented
    algorithms.update(
        {
            "matlab_EPFL_V1-improved_th": ("GsdIonescu", "Original Implementation"),
            "matlab_EPFL_V2-original": (
                "GsdAdaptiveIonescu",
                "Original Implementation",
            ),
            "matlab_TA_Iluz-original": ("GsdIluz", "Original Implementation"),
        }
    )








.. GENERATED FROM PYTHON SOURCE LINES 44-51

The code below loads the data and prepares it for the analysis.
By default, the data will be downloaded from an online repository (and cached locally).
If you want to use a local copy of the data, you can set the `MOBGAP_VALIDATION_DATA_PATH` environment variable.
and the MOBGAP_VALIDATION_USE_LOCA_DATA to `1`.

The file download will print a couple log information, which can usually be ignored.
You can also change the `version` parameter to load a different version of the data.

.. GENERATED FROM PYTHON SOURCE LINES 51-128

.. code-block:: Python

    from pathlib import Path

    import pandas as pd
    from mobgap.data.validation_results import ValidationResultLoader
    from mobgap.utils.misc import get_env_var

    local_data_path = (
        Path(get_env_var("MOBGAP_VALIDATION_DATA_PATH")) / "results"
        if int(get_env_var("MOBGAP_VALIDATION_USE_LOCAL_DATA", 0))
        else None
    )
    __RESULT_VERSION = "v1.0.0"
    loader = ValidationResultLoader(
        "gsd", result_path=local_data_path, version=__RESULT_VERSION
    )


    free_living_index_cols = [
        "cohort",
        "participant_id",
        "time_measure",
        "recording",
        "recording_name",
        "recording_name_pretty",
    ]

    results = {
        v: loader.load_single_results(k, "free_living")
        for k, v in algorithms.items()
    }
    results = pd.concat(
        results, names=["algo", "version", *free_living_index_cols]
    ).assign(
        # We convert all relative errors to percentages
        gs_absolute_relative_duration_error=lambda df: (
            df["gs_absolute_relative_duration_error"] * 100
        ),
        gs_relative_duration_error=lambda df: (
            df["gs_relative_duration_error"] * 100
        ),
    )
    results_long = results.reset_index().assign(
        algo_with_version=lambda df: df["algo"] + " (" + df["version"] + ")",
        _combined="combined",
    )

    lab_index_cols = [
        "cohort",
        "participant_id",
        "time_measure",
        "test",
        "trial",
        "test_name",
        "test_name_pretty",
    ]

    lab_results = {
        v: loader.load_single_results(k, "laboratory")
        for k, v in algorithms.items()
    }
    lab_results = pd.concat(
        lab_results, names=["algo", "version", *lab_index_cols]
    ).assign(
        # We convert all relative errors to percentages
        gs_absolute_relative_duration_error=lambda df: (
            df["gs_absolute_relative_duration_error"] * 100
        ),
        gs_relative_duration_error=lambda df: (
            df["gs_relative_duration_error"] * 100
        ),
    )
    lab_results_long = lab_results.reset_index().assign(
        algo_with_version=lambda df: df["algo"] + " (" + df["version"] + ")",
        _combined="combined",
    )

    cohort_order = ["HA", "CHF", "COPD", "MS", "PD", "PFF"]




.. rst-class:: sphx-glr-script-out

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.. GENERATED FROM PYTHON SOURCE LINES 129-140

Performance metrics
-------------------
For each participant, performance metrics were calculated by classifying each sample in the recording as either
TP, FP, TN, or FN.
Based on these values recall (sensitivity), precision (positive predictive value), F1 score, accuracy, specificity
and many other metrics were calculated.
On top of that the duration of overall detected gait per participant was calculated.
From this we calculate the mean and confidence interval for both systems, the bias and limits of agreement (LoA)
between the algorithm output and the reference data, the absolute error and the ICC.

Below the functions that calculate these metrics are defined.

.. GENERATED FROM PYTHON SOURCE LINES 140-317

.. code-block:: Python

    from functools import partial

    from mobgap.pipeline.evaluation import CustomErrorAggregations as A
    from mobgap.utils.df_operations import (
        CustomOperation,
        apply_aggregations,
        apply_transformations,
        multilevel_groupby_apply_merge,
    )
    from mobgap.utils.tables import FormatTransformer as F
    from mobgap.utils.tables import (
        RevalidationInfo,
        revalidation_table_styles,
    )
    from mobgap.utils.tables import StatsFunctions as S

    custom_aggs = [
        CustomOperation(
            identifier=None,
            function=A.n_datapoints,
            column_name=[("n_datapoints", "all")],
        ),
        ("recall", ["mean", A.conf_intervals]),
        ("precision", ["mean", A.conf_intervals]),
        ("f1_score", ["mean", A.conf_intervals]),
        ("accuracy", ["mean", A.conf_intervals]),
        ("specificity", ["mean", A.conf_intervals]),
        ("reference_gs_duration_s", ["mean", A.conf_intervals]),
        ("detected_gs_duration_s", ["mean", A.conf_intervals]),
        ("gs_duration_error_s", ["mean", A.loa]),
        ("gs_absolute_duration_error_s", ["mean", A.conf_intervals]),
        ("gs_absolute_relative_duration_error", ["mean", A.conf_intervals]),
        CustomOperation(
            identifier=None,
            function=partial(
                A.icc,
                reference_col_name="reference_gs_duration_s",
                detected_col_name="detected_gs_duration_s",
                icc_type="icc2",
            ),
            column_name=[("icc", "gs_duration_s"), ("icc_ci", "gs_duration_s")],
        ),
    ]

    format_transforms = [
        CustomOperation(
            identifier=None,
            function=lambda df_: df_[("n_datapoints", "all")].astype(int),
            column_name=("General", "n_datapoints"),
        ),
        *(
            CustomOperation(
                identifier=None,
                function=partial(
                    F.value_with_metadata,
                    value_col=("mean", c),
                    other_columns={
                        "range": ("conf_intervals", c),
                        "stats_metadata": ("stats_metadata", c),
                    },
                ),
                column_name=("GSD", c),
            )
            for c in [
                "recall",
                "precision",
                "f1_score",
                "accuracy",
                "specificity",
            ]
        ),
        *(
            CustomOperation(
                identifier=None,
                function=partial(
                    F.value_with_metadata,
                    value_col=("mean", c),
                    other_columns={
                        "range": ("conf_intervals", c),
                        "stats_metadata": ("stats_metadata", c),
                    },
                ),
                column_name=("GS duration", c),
            )
            for c in [
                "reference_gs_duration_s",
                "detected_gs_duration_s",
                "gs_absolute_duration_error_s",
                "gs_absolute_relative_duration_error",
            ]
        ),
        CustomOperation(
            identifier=None,
            function=partial(
                F.value_with_metadata,
                value_col=("mean", "gs_duration_error_s"),
                other_columns={"range": ("loa", "gs_duration_error_s")},
            ),
            column_name=("GS duration", "gs_duration_error_s"),
        ),
        CustomOperation(
            identifier=None,
            function=partial(
                F.value_with_metadata,
                value_col=("icc", "gs_duration_s"),
                other_columns={"range": ("icc_ci", "gs_duration_s")},
            ),
            column_name=("GS duration", "icc"),
        ),
    ]

    final_names = {
        "n_datapoints": "# recordings",
        "recall": "Recall",
        "precision": "Precision",
        "f1_score": "F1 Score",
        "accuracy": "Accuracy",
        "specificity": "Specificity",
        "reference_gs_duration_s": "INDIP mean and CI [s]",
        "detected_gs_duration_s": "WD mean and CI [s]",
        "gs_duration_error_s": "Bias and LoA [s]",
        "gs_absolute_duration_error_s": "Abs. Error [s]",
        "gs_absolute_relative_duration_error": "Abs. Rel. Error [%]",
        "icc": "ICC",
    }
    stats_transform = [
        CustomOperation(
            identifier=None,
            function=partial(
                S.pairwise_tests,
                value_col=c,
                between="version",
                reference_group_key="Original Implementation",
            ),
            column_name=[("stats_metadata", c)],
        )
        for c in [
            "recall",
            "precision",
            "f1_score",
            "accuracy",
            "specificity",
            "gs_absolute_relative_duration_error",
        ]
    ]


    validation_thresholds = {
        ("GSD", "Recall"): RevalidationInfo(threshold=0.7, higher_is_better=True),
        ("GSD", "Precision"): RevalidationInfo(
            threshold=0.7, higher_is_better=True
        ),
        ("GSD", "F1 Score"): RevalidationInfo(threshold=0.7, higher_is_better=True),
        ("GSD", "Accuracy"): RevalidationInfo(threshold=0.7, higher_is_better=True),
        ("GSD", "Specificity"): RevalidationInfo(
            threshold=0.7, higher_is_better=True
        ),
        ("GS duration", "Abs. Error [s]"): RevalidationInfo(
            threshold=None, higher_is_better=False
        ),
        ("GS duration", "Abs. Rel. Error [%]"): RevalidationInfo(
            threshold=20, higher_is_better=False
        ),
        ("GS duration", "ICC"): RevalidationInfo(
            threshold=0.7, higher_is_better=True
        ),
    }


    def format_results(df: pd.DataFrame) -> pd.DataFrame:
        return (
            df.pipe(apply_transformations, format_transforms)
            .rename(columns=final_names)
            .loc[:, pd.IndexSlice[:, list(final_names.values())]]
        )









.. GENERATED FROM PYTHON SOURCE LINES 318-329

Free-Living Comparison
----------------------
We focus the comparison on the free-living data, as this is the most relevant considering our final use-case.
In the free-living data, there is one 2.5 hour recording per participant.
This means, each datapoint in the plots below and in the summary statistics represents one participant.

All results across all cohorts
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Note, that the `MobGap (original peak)` version is a variant of the new ``GsdIluz`` algorithm for which we tried
to emulate the original peak detection algorithm as closely as possible.
The regular `MobGap` version uses a slightly modified peak detection algorithm.

.. GENERATED FROM PYTHON SOURCE LINES 329-344

.. code-block:: Python

    import matplotlib.pyplot as plt
    import seaborn as sns

    hue_order = ["Original Implementation", "MobGap", "MobGap (original peak)"]

    fig, ax = plt.subplots()
    sns.boxplot(
        data=results_long,
        x="algo",
        y="f1_score",
        hue="version",
        hue_order=hue_order,
        ax=ax,
    )
    fig.show()



.. image-sg:: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_001.png
   :alt:  01 gsd analysis
   :srcset: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 345-365

.. code-block:: Python


    perf_metrics_all = results_long.pipe(
        multilevel_groupby_apply_merge,
        [
            (
                ["algo", "version"],
                partial(apply_aggregations, aggregations=custom_aggs),
            ),
            (
                ["algo"],
                partial(apply_transformations, transformations=stats_transform),
            ),
        ],
    ).pipe(format_results)
    perf_metrics_all.style.pipe(
        revalidation_table_styles,
        validation_thresholds,
        ["algo"],
    )






.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <style type="text/css">
    #T_c4da3_row0_col1, #T_c4da3_row2_col1, #T_c4da3_row2_col3, #T_c4da3_row3_col2, #T_c4da3_row3_col4, #T_c4da3_row3_col5, #T_c4da3_row5_col1, #T_c4da3_row5_col3, #T_c4da3_row5_col4, #T_c4da3_row5_col11 {
      font-weight: bold;
      background-color: lightgreen;
    }
    #T_c4da3_row0_col2, #T_c4da3_row0_col10, #T_c4da3_row0_col11, #T_c4da3_row2_col10, #T_c4da3_row3_col10 {
      background-color: lightcoral;
    }
    #T_c4da3_row0_col3, #T_c4da3_row0_col4, #T_c4da3_row0_col5, #T_c4da3_row2_col2, #T_c4da3_row2_col4, #T_c4da3_row2_col5, #T_c4da3_row2_col11, #T_c4da3_row3_col1, #T_c4da3_row3_col3, #T_c4da3_row3_col11, #T_c4da3_row5_col2, #T_c4da3_row5_col5, #T_c4da3_row5_col10 {
      background-color: lightgreen;
    }
    #T_c4da3_row1_col0, #T_c4da3_row1_col6, #T_c4da3_row1_col7, #T_c4da3_row1_col8, #T_c4da3_row4_col0, #T_c4da3_row4_col6, #T_c4da3_row4_col7, #T_c4da3_row4_col8, #T_c4da3_row6_col0, #T_c4da3_row6_col6, #T_c4da3_row6_col7, #T_c4da3_row6_col8 {
      border-bottom: 2px solid black;
    }
    #T_c4da3_row1_col1, #T_c4da3_row4_col1, #T_c4da3_row4_col2, #T_c4da3_row4_col3, #T_c4da3_row4_col4, #T_c4da3_row4_col5, #T_c4da3_row6_col1, #T_c4da3_row6_col3, #T_c4da3_row6_col4, #T_c4da3_row6_col11 {
      background-color: lightgreen;
      border-bottom: 2px solid black;
    }
    #T_c4da3_row1_col2, #T_c4da3_row1_col10, #T_c4da3_row1_col11 {
      font-weight: bold;
      background-color: lightcoral;
      border-bottom: 2px solid black;
    }
    #T_c4da3_row1_col3, #T_c4da3_row1_col4, #T_c4da3_row1_col5, #T_c4da3_row4_col10, #T_c4da3_row4_col11, #T_c4da3_row6_col2, #T_c4da3_row6_col5, #T_c4da3_row6_col10 {
      font-weight: bold;
      background-color: lightgreen;
      border-bottom: 2px solid black;
    }
    #T_c4da3_row1_col9, #T_c4da3_row4_col9, #T_c4da3_row6_col9 {
      font-weight: bold;
      border-bottom: 2px solid black;
    }
    </style>
    <table id="T_c4da3" class="dataframe">
      <thead>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank level0" >&nbsp;</th>
          <th id="T_c4da3_level0_col0" class="col_heading level0 col0" >General</th>
          <th id="T_c4da3_level0_col1" class="col_heading level0 col1" colspan="5">GSD</th>
          <th id="T_c4da3_level0_col6" class="col_heading level0 col6" colspan="6">GS duration</th>
        </tr>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank level1" >&nbsp;</th>
          <th id="T_c4da3_level1_col0" class="col_heading level1 col0" ># recordings</th>
          <th id="T_c4da3_level1_col1" class="col_heading level1 col1" >Recall</th>
          <th id="T_c4da3_level1_col2" class="col_heading level1 col2" >Precision</th>
          <th id="T_c4da3_level1_col3" class="col_heading level1 col3" >F1 Score</th>
          <th id="T_c4da3_level1_col4" class="col_heading level1 col4" >Accuracy</th>
          <th id="T_c4da3_level1_col5" class="col_heading level1 col5" >Specificity</th>
          <th id="T_c4da3_level1_col6" class="col_heading level1 col6" >INDIP mean and CI [s]</th>
          <th id="T_c4da3_level1_col7" class="col_heading level1 col7" >WD mean and CI [s]</th>
          <th id="T_c4da3_level1_col8" class="col_heading level1 col8" >Bias and LoA [s]</th>
          <th id="T_c4da3_level1_col9" class="col_heading level1 col9" >Abs. Error [s]</th>
          <th id="T_c4da3_level1_col10" class="col_heading level1 col10" >Abs. Rel. Error [%]</th>
          <th id="T_c4da3_level1_col11" class="col_heading level1 col11" >ICC</th>
        </tr>
        <tr>
          <th class="index_name level0" >algo</th>
          <th class="index_name level1" >version</th>
          <th class="blank col0" >&nbsp;</th>
          <th class="blank col1" >&nbsp;</th>
          <th class="blank col2" >&nbsp;</th>
          <th class="blank col3" >&nbsp;</th>
          <th class="blank col4" >&nbsp;</th>
          <th class="blank col5" >&nbsp;</th>
          <th class="blank col6" >&nbsp;</th>
          <th class="blank col7" >&nbsp;</th>
          <th class="blank col8" >&nbsp;</th>
          <th class="blank col9" >&nbsp;</th>
          <th class="blank col10" >&nbsp;</th>
          <th class="blank col11" >&nbsp;</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th id="T_c4da3_level0_row0" class="row_heading level0 row0" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_c4da3_level1_row0" class="row_heading level1 row0" >MobGap</th>
          <td id="T_c4da3_row0_col0" class="data row0 col0" >101</td>
          <td id="T_c4da3_row0_col1" class="data row0 col1" ><span>0.93 [0.91, 0.95]</span></td>
          <td id="T_c4da3_row0_col2" class="data row0 col2" ><span>0.67 [0.62, 0.72]</span></td>
          <td id="T_c4da3_row0_col3" class="data row0 col3" ><span>0.74 [0.70, 0.78]</span></td>
          <td id="T_c4da3_row0_col4" class="data row0 col4" ><span>0.93 [0.92, 0.94]</span></td>
          <td id="T_c4da3_row0_col5" class="data row0 col5" ><span>0.94 [0.92, 0.95]</span></td>
          <td id="T_c4da3_row0_col6" class="data row0 col6" ><span>1264.26 [1088.67, 1439.85]</span></td>
          <td id="T_c4da3_row0_col7" class="data row0 col7" ><span>1695.22 [1548.42, 1842.02]</span></td>
          <td id="T_c4da3_row0_col8" class="data row0 col8" ><span>430.95 [-986.86, 1848.76]</span></td>
          <td id="T_c4da3_row0_col9" class="data row0 col9" ><span>560.23 [437.84, 682.63]</span></td>
          <td id="T_c4da3_row0_col10" class="data row0 col10" ><span>138.91 [36.10, 241.72]</span></td>
          <td id="T_c4da3_row0_col11" class="data row0 col11" ><span>0.55 [0.27, 0.72]</span></td>
        </tr>
        <tr>
          <th id="T_c4da3_level1_row1" class="row_heading level1 row1" >Original Implementation</th>
          <td id="T_c4da3_row1_col0" class="data row1 col0" >101</td>
          <td id="T_c4da3_row1_col1" class="data row1 col1" ><span>0.89 [0.86, 0.92]</span></td>
          <td id="T_c4da3_row1_col2" class="data row1 col2" ><span>0.70 [0.65, 0.75]</span></td>
          <td id="T_c4da3_row1_col3" class="data row1 col3" ><span>0.75 [0.70, 0.79]</span></td>
          <td id="T_c4da3_row1_col4" class="data row1 col4" ><span>0.94 [0.93, 0.95]</span></td>
          <td id="T_c4da3_row1_col5" class="data row1 col5" ><span>0.95 [0.94, 0.96]</span></td>
          <td id="T_c4da3_row1_col6" class="data row1 col6" ><span>1264.26 [1088.67, 1439.85]</span></td>
          <td id="T_c4da3_row1_col7" class="data row1 col7" ><span>1514.09 [1370.66, 1657.53]</span></td>
          <td id="T_c4da3_row1_col8" class="data row1 col8" ><span>249.83 [-1067.83, 1567.49]</span></td>
          <td id="T_c4da3_row1_col9" class="data row1 col9" ><span>461.74 [354.98, 568.50]</span></td>
          <td id="T_c4da3_row1_col10" class="data row1 col10" ><span>122.52 [26.84, 218.21]</span></td>
          <td id="T_c4da3_row1_col11" class="data row1 col11" ><span>0.64 [0.48, 0.75]</span></td>
        </tr>
        <tr>
          <th id="T_c4da3_level0_row2" class="row_heading level0 row2" rowspan="3">GsdIluz</th>
          <th id="T_c4da3_level1_row2" class="row_heading level1 row2" >MobGap</th>
          <td id="T_c4da3_row2_col0" class="data row2 col0" >101</td>
          <td id="T_c4da3_row2_col1" class="data row2 col1" ><span>0.91 [0.88, 0.94]</span><sup>**</sup></td>
          <td id="T_c4da3_row2_col2" class="data row2 col2" ><span>0.74 [0.71, 0.77]</span></td>
          <td id="T_c4da3_row2_col3" class="data row2 col3" ><span>0.81 [0.78, 0.83]</span></td>
          <td id="T_c4da3_row2_col4" class="data row2 col4" ><span>0.95 [0.94, 0.96]</span></td>
          <td id="T_c4da3_row2_col5" class="data row2 col5" ><span>0.95 [0.95, 0.96]</span><sup>**</sup></td>
          <td id="T_c4da3_row2_col6" class="data row2 col6" ><span>1264.26 [1088.67, 1439.85]</span></td>
          <td id="T_c4da3_row2_col7" class="data row2 col7" ><span>1544.08 [1348.16, 1739.99]</span></td>
          <td id="T_c4da3_row2_col8" class="data row2 col8" ><span>279.81 [-321.86, 881.49]</span></td>
          <td id="T_c4da3_row2_col9" class="data row2 col9" ><span>315.00 [262.27, 367.72]</span></td>
          <td id="T_c4da3_row2_col10" class="data row2 col10" ><span>30.86 [24.93, 36.80]</span><sup>**</sup></td>
          <td id="T_c4da3_row2_col11" class="data row2 col11" ><span>0.91 [0.59, 0.97]</span></td>
        </tr>
        <tr>
          <th id="T_c4da3_level1_row3" class="row_heading level1 row3" >MobGap (original peak)</th>
          <td id="T_c4da3_row3_col0" class="data row3 col0" >101</td>
          <td id="T_c4da3_row3_col1" class="data row3 col1" ><span>0.71 [0.66, 0.75]</span><sup>**</sup></td>
          <td id="T_c4da3_row3_col2" class="data row3 col2" ><span>0.87 [0.82, 0.91]</span><sup>**</sup></td>
          <td id="T_c4da3_row3_col3" class="data row3 col3" ><span>0.77 [0.72, 0.81]</span></td>
          <td id="T_c4da3_row3_col4" class="data row3 col4" ><span>0.96 [0.95, 0.97]</span></td>
          <td id="T_c4da3_row3_col5" class="data row3 col5" ><span>0.99 [0.99, 0.99]</span><sup>**</sup></td>
          <td id="T_c4da3_row3_col6" class="data row3 col6" ><span>1264.26 [1088.67, 1439.85]</span></td>
          <td id="T_c4da3_row3_col7" class="data row3 col7" ><span>1043.89 [871.73, 1216.04]</span></td>
          <td id="T_c4da3_row3_col8" class="data row3 col8" ><span>-220.38 [-781.49, 340.73]</span></td>
          <td id="T_c4da3_row3_col9" class="data row3 col9" ><span>241.42 [189.04, 293.80]</span></td>
          <td id="T_c4da3_row3_col10" class="data row3 col10" ><span>23.80 [19.28, 28.32]</span></td>
          <td id="T_c4da3_row3_col11" class="data row3 col11" ><span>0.92 [0.72, 0.97]</span></td>
        </tr>
        <tr>
          <th id="T_c4da3_level1_row4" class="row_heading level1 row4" >Original Implementation</th>
          <td id="T_c4da3_row4_col0" class="data row4 col0" >101</td>
          <td id="T_c4da3_row4_col1" class="data row4 col1" ><span>0.82 [0.77, 0.86]</span></td>
          <td id="T_c4da3_row4_col2" class="data row4 col2" ><span>0.78 [0.75, 0.82]</span></td>
          <td id="T_c4da3_row4_col3" class="data row4 col3" ><span>0.79 [0.75, 0.83]</span></td>
          <td id="T_c4da3_row4_col4" class="data row4 col4" ><span>0.96 [0.95, 0.96]</span></td>
          <td id="T_c4da3_row4_col5" class="data row4 col5" ><span>0.97 [0.96, 0.97]</span></td>
          <td id="T_c4da3_row4_col6" class="data row4 col6" ><span>1264.26 [1088.67, 1439.85]</span></td>
          <td id="T_c4da3_row4_col7" class="data row4 col7" ><span>1315.86 [1127.03, 1504.69]</span></td>
          <td id="T_c4da3_row4_col8" class="data row4 col8" ><span>51.59 [-554.17, 657.36]</span></td>
          <td id="T_c4da3_row4_col9" class="data row4 col9" ><span>185.98 [136.93, 235.04]</span></td>
          <td id="T_c4da3_row4_col10" class="data row4 col10" ><span>18.72 [14.29, 23.15]</span></td>
          <td id="T_c4da3_row4_col11" class="data row4 col11" ><span>0.94 [0.92, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_c4da3_level0_row5" class="row_heading level0 row5" rowspan="2">GsdIonescu</th>
          <th id="T_c4da3_level1_row5" class="row_heading level1 row5" >MobGap</th>
          <td id="T_c4da3_row5_col0" class="data row5 col0" >101</td>
          <td id="T_c4da3_row5_col1" class="data row5 col1" ><span>0.85 [0.81, 0.88]</span></td>
          <td id="T_c4da3_row5_col2" class="data row5 col2" ><span>0.82 [0.79, 0.85]</span></td>
          <td id="T_c4da3_row5_col3" class="data row5 col3" ><span>0.82 [0.79, 0.85]</span></td>
          <td id="T_c4da3_row5_col4" class="data row5 col4" ><span>0.96 [0.96, 0.97]</span></td>
          <td id="T_c4da3_row5_col5" class="data row5 col5" ><span>0.97 [0.97, 0.98]</span></td>
          <td id="T_c4da3_row5_col6" class="data row5 col6" ><span>1264.26 [1088.67, 1439.85]</span></td>
          <td id="T_c4da3_row5_col7" class="data row5 col7" ><span>1322.33 [1135.84, 1508.83]</span></td>
          <td id="T_c4da3_row5_col8" class="data row5 col8" ><span>58.07 [-501.45, 617.59]</span></td>
          <td id="T_c4da3_row5_col9" class="data row5 col9" ><span>172.65 [127.00, 218.30]</span></td>
          <td id="T_c4da3_row5_col10" class="data row5 col10" ><span>17.65 [13.71, 21.59]</span></td>
          <td id="T_c4da3_row5_col11" class="data row5 col11" ><span>0.95 [0.93, 0.97]</span></td>
        </tr>
        <tr>
          <th id="T_c4da3_level1_row6" class="row_heading level1 row6" >Original Implementation</th>
          <td id="T_c4da3_row6_col0" class="data row6 col0" >101</td>
          <td id="T_c4da3_row6_col1" class="data row6 col1" ><span>0.82 [0.78, 0.86]</span></td>
          <td id="T_c4da3_row6_col2" class="data row6 col2" ><span>0.82 [0.79, 0.85]</span></td>
          <td id="T_c4da3_row6_col3" class="data row6 col3" ><span>0.81 [0.77, 0.84]</span></td>
          <td id="T_c4da3_row6_col4" class="data row6 col4" ><span>0.96 [0.95, 0.97]</span></td>
          <td id="T_c4da3_row6_col5" class="data row6 col5" ><span>0.98 [0.97, 0.98]</span></td>
          <td id="T_c4da3_row6_col6" class="data row6 col6" ><span>1264.26 [1088.67, 1439.85]</span></td>
          <td id="T_c4da3_row6_col7" class="data row6 col7" ><span>1262.37 [1078.65, 1446.09]</span></td>
          <td id="T_c4da3_row6_col8" class="data row6 col8" ><span>-1.90 [-620.40, 616.61]</span></td>
          <td id="T_c4da3_row6_col9" class="data row6 col9" ><span>168.66 [116.74, 220.57]</span></td>
          <td id="T_c4da3_row6_col10" class="data row6 col10" ><span>16.98 [12.83, 21.12]</span></td>
          <td id="T_c4da3_row6_col11" class="data row6 col11" ><span>0.94 [0.92, 0.96]</span></td>
        </tr>
      </tbody>
    </table>

    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 366-369

Per Cohort
~~~~~~~~~~
While this provides a good overview, it does not fully reflect how these algorithms perform on the different cohorts.

.. GENERATED FROM PYTHON SOURCE LINES 369-374

.. code-block:: Python

    fig, ax = plt.subplots()
    sns.boxplot(
        data=results_long, x="cohort", y="f1_score", hue="algo_with_version", ax=ax
    )
    fig.show()



.. image-sg:: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_002.png
   :alt:  01 gsd analysis
   :srcset: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_002.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 375-399

.. code-block:: Python


    perf_metrics_per_cohort = (
        results_long.pipe(
            multilevel_groupby_apply_merge,
            [
                (
                    ["cohort", "algo", "version"],
                    partial(apply_aggregations, aggregations=custom_aggs),
                ),
                (
                    ["cohort", "algo"],
                    partial(apply_transformations, transformations=stats_transform),
                ),
            ],
        )
        .pipe(format_results)
        .loc[cohort_order]
    )
    perf_metrics_per_cohort.style.pipe(
        revalidation_table_styles,
        validation_thresholds,
        ["cohort", "algo"],
    )






.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <style type="text/css">
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      font-weight: bold;
    }
    #T_e87bc_row0_col10, #T_e87bc_row0_col11, #T_e87bc_row2_col10, #T_e87bc_row7_col2, #T_e87bc_row7_col10, #T_e87bc_row9_col10, #T_e87bc_row14_col2, #T_e87bc_row14_col10, #T_e87bc_row14_col11, #T_e87bc_row16_col2, #T_e87bc_row16_col10, #T_e87bc_row16_col11, #T_e87bc_row17_col1, #T_e87bc_row17_col10, #T_e87bc_row17_col11, #T_e87bc_row21_col10, #T_e87bc_row23_col10, #T_e87bc_row26_col10, #T_e87bc_row28_col10, #T_e87bc_row28_col11, #T_e87bc_row30_col10, #T_e87bc_row31_col10, #T_e87bc_row33_col10, #T_e87bc_row35_col2, #T_e87bc_row35_col3, #T_e87bc_row35_col10, #T_e87bc_row35_col11, #T_e87bc_row37_col10, #T_e87bc_row38_col1, #T_e87bc_row38_col2, #T_e87bc_row38_col3, #T_e87bc_row38_col10, #T_e87bc_row40_col10 {
      background-color: lightcoral;
    }
    #T_e87bc_row1_col0, #T_e87bc_row1_col6, #T_e87bc_row1_col7, #T_e87bc_row1_col8, #T_e87bc_row1_col9, #T_e87bc_row4_col0, #T_e87bc_row4_col6, #T_e87bc_row4_col7, #T_e87bc_row4_col8, #T_e87bc_row6_col0, #T_e87bc_row6_col6, #T_e87bc_row6_col7, #T_e87bc_row6_col8, #T_e87bc_row6_col9, #T_e87bc_row8_col0, #T_e87bc_row8_col6, #T_e87bc_row8_col7, #T_e87bc_row8_col8, #T_e87bc_row11_col0, #T_e87bc_row11_col6, #T_e87bc_row11_col7, #T_e87bc_row11_col8, #T_e87bc_row11_col9, #T_e87bc_row13_col0, #T_e87bc_row13_col6, #T_e87bc_row13_col7, #T_e87bc_row13_col8, #T_e87bc_row15_col0, #T_e87bc_row15_col6, #T_e87bc_row15_col7, #T_e87bc_row15_col8, #T_e87bc_row18_col0, #T_e87bc_row18_col6, #T_e87bc_row18_col7, #T_e87bc_row18_col8, #T_e87bc_row20_col0, #T_e87bc_row20_col6, #T_e87bc_row20_col7, #T_e87bc_row20_col8, #T_e87bc_row22_col0, #T_e87bc_row22_col6, #T_e87bc_row22_col7, #T_e87bc_row22_col8, #T_e87bc_row25_col0, #T_e87bc_row25_col6, #T_e87bc_row25_col7, #T_e87bc_row25_col8, #T_e87bc_row25_col9, #T_e87bc_row27_col0, #T_e87bc_row27_col6, #T_e87bc_row27_col7, #T_e87bc_row27_col8, #T_e87bc_row29_col0, #T_e87bc_row29_col6, #T_e87bc_row29_col7, #T_e87bc_row29_col8, #T_e87bc_row32_col0, #T_e87bc_row32_col6, #T_e87bc_row32_col7, #T_e87bc_row32_col8, #T_e87bc_row34_col0, #T_e87bc_row34_col6, #T_e87bc_row34_col7, #T_e87bc_row34_col8, #T_e87bc_row36_col0, #T_e87bc_row36_col6, #T_e87bc_row36_col7, #T_e87bc_row36_col8, #T_e87bc_row39_col0, #T_e87bc_row39_col6, #T_e87bc_row39_col7, #T_e87bc_row39_col8, #T_e87bc_row41_col0, #T_e87bc_row41_col6, #T_e87bc_row41_col7, #T_e87bc_row41_col8 {
      border-bottom: 2px solid black;
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    #T_e87bc_row1_col1, #T_e87bc_row1_col2, #T_e87bc_row1_col3, #T_e87bc_row1_col4, #T_e87bc_row4_col1, #T_e87bc_row4_col2, #T_e87bc_row4_col3, #T_e87bc_row4_col4, #T_e87bc_row4_col5, #T_e87bc_row6_col1, #T_e87bc_row6_col2, #T_e87bc_row6_col3, #T_e87bc_row6_col4, #T_e87bc_row6_col10, #T_e87bc_row6_col11, #T_e87bc_row8_col1, #T_e87bc_row11_col1, #T_e87bc_row11_col2, #T_e87bc_row11_col3, #T_e87bc_row11_col4, #T_e87bc_row11_col5, #T_e87bc_row11_col11, #T_e87bc_row13_col1, #T_e87bc_row15_col1, #T_e87bc_row18_col1, #T_e87bc_row18_col2, #T_e87bc_row18_col5, #T_e87bc_row20_col1, #T_e87bc_row20_col3, #T_e87bc_row20_col4, #T_e87bc_row22_col1, #T_e87bc_row25_col1, #T_e87bc_row25_col2, #T_e87bc_row25_col3, #T_e87bc_row25_col4, #T_e87bc_row25_col5, #T_e87bc_row25_col11, #T_e87bc_row27_col1, #T_e87bc_row27_col3, #T_e87bc_row29_col1, #T_e87bc_row32_col1, #T_e87bc_row32_col2, #T_e87bc_row32_col3, #T_e87bc_row32_col4, #T_e87bc_row32_col5, #T_e87bc_row34_col1, #T_e87bc_row34_col3, #T_e87bc_row34_col4, #T_e87bc_row36_col1, #T_e87bc_row39_col5, #T_e87bc_row41_col3, #T_e87bc_row41_col4, #T_e87bc_row41_col11 {
      background-color: lightgreen;
      border-bottom: 2px solid black;
    }
    #T_e87bc_row1_col5, #T_e87bc_row4_col10, #T_e87bc_row4_col11, #T_e87bc_row6_col5, #T_e87bc_row8_col3, #T_e87bc_row8_col4, #T_e87bc_row8_col5, #T_e87bc_row8_col11, #T_e87bc_row13_col2, #T_e87bc_row13_col3, #T_e87bc_row13_col4, #T_e87bc_row13_col5, #T_e87bc_row13_col10, #T_e87bc_row13_col11, #T_e87bc_row15_col3, #T_e87bc_row15_col4, #T_e87bc_row15_col5, #T_e87bc_row18_col3, #T_e87bc_row18_col4, #T_e87bc_row20_col2, #T_e87bc_row20_col5, #T_e87bc_row20_col10, #T_e87bc_row22_col2, #T_e87bc_row22_col3, #T_e87bc_row22_col4, #T_e87bc_row22_col5, #T_e87bc_row22_col11, #T_e87bc_row27_col2, #T_e87bc_row27_col4, #T_e87bc_row27_col5, #T_e87bc_row27_col10, #T_e87bc_row27_col11, #T_e87bc_row29_col2, #T_e87bc_row29_col3, #T_e87bc_row29_col4, #T_e87bc_row29_col5, #T_e87bc_row29_col11, #T_e87bc_row32_col10, #T_e87bc_row32_col11, #T_e87bc_row34_col2, #T_e87bc_row34_col5, #T_e87bc_row34_col10, #T_e87bc_row34_col11, #T_e87bc_row36_col4, #T_e87bc_row36_col5, #T_e87bc_row39_col4, #T_e87bc_row39_col11, #T_e87bc_row41_col2, #T_e87bc_row41_col5 {
      font-weight: bold;
      background-color: lightgreen;
      border-bottom: 2px solid black;
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    #T_e87bc_row1_col10, #T_e87bc_row1_col11, #T_e87bc_row8_col2, #T_e87bc_row8_col10, #T_e87bc_row15_col2, #T_e87bc_row15_col10, #T_e87bc_row15_col11, #T_e87bc_row18_col10, #T_e87bc_row18_col11, #T_e87bc_row22_col10, #T_e87bc_row29_col10, #T_e87bc_row36_col2, #T_e87bc_row36_col3, #T_e87bc_row36_col10, #T_e87bc_row36_col11, #T_e87bc_row39_col10, #T_e87bc_row41_col10 {
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      border-bottom: 2px solid black;
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    #T_e87bc_row4_col9, #T_e87bc_row8_col9, #T_e87bc_row13_col9, #T_e87bc_row15_col9, #T_e87bc_row18_col9, #T_e87bc_row20_col9, #T_e87bc_row22_col9, #T_e87bc_row27_col9, #T_e87bc_row29_col9, #T_e87bc_row32_col9, #T_e87bc_row34_col9, #T_e87bc_row36_col9, #T_e87bc_row39_col9, #T_e87bc_row41_col9 {
      font-weight: bold;
      border-bottom: 2px solid black;
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    #T_e87bc_row11_col10, #T_e87bc_row20_col11, #T_e87bc_row25_col10, #T_e87bc_row39_col1, #T_e87bc_row39_col2, #T_e87bc_row39_col3, #T_e87bc_row41_col1 {
      background-color: lightcoral;
      border-bottom: 2px solid black;
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    #T_e87bc_row19_col11, #T_e87bc_row37_col2, #T_e87bc_row40_col1 {
      font-weight: bold;
      background-color: lightcoral;
    }
    </style>
    <table id="T_e87bc" class="dataframe">
      <thead>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank" >&nbsp;</th>
          <th class="blank level0" >&nbsp;</th>
          <th id="T_e87bc_level0_col0" class="col_heading level0 col0" >General</th>
          <th id="T_e87bc_level0_col1" class="col_heading level0 col1" colspan="5">GSD</th>
          <th id="T_e87bc_level0_col6" class="col_heading level0 col6" colspan="6">GS duration</th>
        </tr>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank" >&nbsp;</th>
          <th class="blank level1" >&nbsp;</th>
          <th id="T_e87bc_level1_col0" class="col_heading level1 col0" ># recordings</th>
          <th id="T_e87bc_level1_col1" class="col_heading level1 col1" >Recall</th>
          <th id="T_e87bc_level1_col2" class="col_heading level1 col2" >Precision</th>
          <th id="T_e87bc_level1_col3" class="col_heading level1 col3" >F1 Score</th>
          <th id="T_e87bc_level1_col4" class="col_heading level1 col4" >Accuracy</th>
          <th id="T_e87bc_level1_col5" class="col_heading level1 col5" >Specificity</th>
          <th id="T_e87bc_level1_col6" class="col_heading level1 col6" >INDIP mean and CI [s]</th>
          <th id="T_e87bc_level1_col7" class="col_heading level1 col7" >WD mean and CI [s]</th>
          <th id="T_e87bc_level1_col8" class="col_heading level1 col8" >Bias and LoA [s]</th>
          <th id="T_e87bc_level1_col9" class="col_heading level1 col9" >Abs. Error [s]</th>
          <th id="T_e87bc_level1_col10" class="col_heading level1 col10" >Abs. Rel. Error [%]</th>
          <th id="T_e87bc_level1_col11" class="col_heading level1 col11" >ICC</th>
        </tr>
        <tr>
          <th class="index_name level0" >cohort</th>
          <th class="index_name level1" >algo</th>
          <th class="index_name level2" >version</th>
          <th class="blank col0" >&nbsp;</th>
          <th class="blank col1" >&nbsp;</th>
          <th class="blank col2" >&nbsp;</th>
          <th class="blank col3" >&nbsp;</th>
          <th class="blank col4" >&nbsp;</th>
          <th class="blank col5" >&nbsp;</th>
          <th class="blank col6" >&nbsp;</th>
          <th class="blank col7" >&nbsp;</th>
          <th class="blank col8" >&nbsp;</th>
          <th class="blank col9" >&nbsp;</th>
          <th class="blank col10" >&nbsp;</th>
          <th class="blank col11" >&nbsp;</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th id="T_e87bc_level0_row0" class="row_heading level0 row0" rowspan="7">HA</th>
          <th id="T_e87bc_level1_row0" class="row_heading level1 row0" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_e87bc_level2_row0" class="row_heading level2 row0" >MobGap</th>
          <td id="T_e87bc_row0_col0" class="data row0 col0" >20</td>
          <td id="T_e87bc_row0_col1" class="data row0 col1" ><span>0.90 [0.87, 0.93]</span></td>
          <td id="T_e87bc_row0_col2" class="data row0 col2" ><span>0.80 [0.72, 0.87]</span></td>
          <td id="T_e87bc_row0_col3" class="data row0 col3" ><span>0.83 [0.79, 0.87]</span></td>
          <td id="T_e87bc_row0_col4" class="data row0 col4" ><span>0.94 [0.92, 0.96]</span></td>
          <td id="T_e87bc_row0_col5" class="data row0 col5" ><span>0.95 [0.93, 0.98]</span></td>
          <td id="T_e87bc_row0_col6" class="data row0 col6" ><span>1684.35 [1352.20, 2016.50]</span></td>
          <td id="T_e87bc_row0_col7" class="data row0 col7" ><span>1878.34 [1610.60, 2146.08]</span></td>
          <td id="T_e87bc_row0_col8" class="data row0 col8" ><span>193.99 [-894.88, 1282.86]</span></td>
          <td id="T_e87bc_row0_col9" class="data row0 col9" ><span>408.54 [226.49, 590.60]</span></td>
          <td id="T_e87bc_row0_col10" class="data row0 col10" ><span>30.09 [14.40, 45.78]</span></td>
          <td id="T_e87bc_row0_col11" class="data row0 col11" ><span>0.66 [0.33, 0.85]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row1" class="row_heading level2 row1" >Original Implementation</th>
          <td id="T_e87bc_row1_col0" class="data row1 col0" >20</td>
          <td id="T_e87bc_row1_col1" class="data row1 col1" ><span>0.82 [0.73, 0.91]</span></td>
          <td id="T_e87bc_row1_col2" class="data row1 col2" ><span>0.79 [0.68, 0.90]</span></td>
          <td id="T_e87bc_row1_col3" class="data row1 col3" ><span>0.79 [0.70, 0.88]</span></td>
          <td id="T_e87bc_row1_col4" class="data row1 col4" ><span>0.94 [0.92, 0.95]</span></td>
          <td id="T_e87bc_row1_col5" class="data row1 col5" ><span>0.97 [0.95, 0.99]</span></td>
          <td id="T_e87bc_row1_col6" class="data row1 col6" ><span>1684.35 [1352.20, 2016.50]</span></td>
          <td id="T_e87bc_row1_col7" class="data row1 col7" ><span>1638.47 [1329.01, 1947.92]</span></td>
          <td id="T_e87bc_row1_col8" class="data row1 col8" ><span>-45.88 [-1217.67, 1125.92]</span></td>
          <td id="T_e87bc_row1_col9" class="data row1 col9" ><span>423.40 [242.20, 604.60]</span></td>
          <td id="T_e87bc_row1_col10" class="data row1 col10" ><span>29.19 [15.19, 43.19]</span></td>
          <td id="T_e87bc_row1_col11" class="data row1 col11" ><span>0.68 [0.34, 0.86]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level1_row2" class="row_heading level1 row2" rowspan="3">GsdIluz</th>
          <th id="T_e87bc_level2_row2" class="row_heading level2 row2" >MobGap</th>
          <td id="T_e87bc_row2_col0" class="data row2 col0" >20</td>
          <td id="T_e87bc_row2_col1" class="data row2 col1" ><span>0.94 [0.92, 0.96]</span><sup>*</sup></td>
          <td id="T_e87bc_row2_col2" class="data row2 col2" ><span>0.77 [0.73, 0.82]</span><sup>*</sup></td>
          <td id="T_e87bc_row2_col3" class="data row2 col3" ><span>0.85 [0.81, 0.88]</span></td>
          <td id="T_e87bc_row2_col4" class="data row2 col4" ><span>0.94 [0.93, 0.95]</span></td>
          <td id="T_e87bc_row2_col5" class="data row2 col5" ><span>0.94 [0.93, 0.95]</span><sup>**</sup></td>
          <td id="T_e87bc_row2_col6" class="data row2 col6" ><span>1684.35 [1352.20, 2016.50]</span></td>
          <td id="T_e87bc_row2_col7" class="data row2 col7" ><span>2021.26 [1679.70, 2362.82]</span></td>
          <td id="T_e87bc_row2_col8" class="data row2 col8" ><span>336.91 [-72.79, 746.62]</span></td>
          <td id="T_e87bc_row2_col9" class="data row2 col9" ><span>336.91 [245.30, 428.53]</span></td>
          <td id="T_e87bc_row2_col10" class="data row2 col10" ><span>22.78 [15.88, 29.67]</span><sup>*</sup></td>
          <td id="T_e87bc_row2_col11" class="data row2 col11" ><span>0.88 [0.03, 0.97]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row3" class="row_heading level2 row3" >MobGap (original peak)</th>
          <td id="T_e87bc_row3_col0" class="data row3 col0" >20</td>
          <td id="T_e87bc_row3_col1" class="data row3 col1" ><span>0.77 [0.71, 0.82]</span></td>
          <td id="T_e87bc_row3_col2" class="data row3 col2" ><span>0.93 [0.92, 0.95]</span><sup>**</sup></td>
          <td id="T_e87bc_row3_col3" class="data row3 col3" ><span>0.84 [0.80, 0.87]</span></td>
          <td id="T_e87bc_row3_col4" class="data row3 col4" ><span>0.95 [0.95, 0.96]</span></td>
          <td id="T_e87bc_row3_col5" class="data row3 col5" ><span>0.99 [0.99, 0.99]</span><sup>**</sup></td>
          <td id="T_e87bc_row3_col6" class="data row3 col6" ><span>1684.35 [1352.20, 2016.50]</span></td>
          <td id="T_e87bc_row3_col7" class="data row3 col7" ><span>1405.44 [1066.12, 1744.76]</span></td>
          <td id="T_e87bc_row3_col8" class="data row3 col8" ><span>-278.91 [-630.01, 72.19]</span></td>
          <td id="T_e87bc_row3_col9" class="data row3 col9" ><span>278.91 [200.40, 357.42]</span></td>
          <td id="T_e87bc_row3_col10" class="data row3 col10" ><span>18.17 [12.75, 23.59]</span></td>
          <td id="T_e87bc_row3_col11" class="data row3 col11" ><span>0.91 [0.10, 0.98]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row4" class="row_heading level2 row4" >Original Implementation</th>
          <td id="T_e87bc_row4_col0" class="data row4 col0" >20</td>
          <td id="T_e87bc_row4_col1" class="data row4 col1" ><span>0.84 [0.77, 0.92]</span></td>
          <td id="T_e87bc_row4_col2" class="data row4 col2" ><span>0.83 [0.80, 0.87]</span></td>
          <td id="T_e87bc_row4_col3" class="data row4 col3" ><span>0.83 [0.77, 0.88]</span></td>
          <td id="T_e87bc_row4_col4" class="data row4 col4" ><span>0.95 [0.94, 0.96]</span></td>
          <td id="T_e87bc_row4_col5" class="data row4 col5" ><span>0.97 [0.96, 0.97]</span></td>
          <td id="T_e87bc_row4_col6" class="data row4 col6" ><span>1684.35 [1352.20, 2016.50]</span></td>
          <td id="T_e87bc_row4_col7" class="data row4 col7" ><span>1709.24 [1341.94, 2076.54]</span></td>
          <td id="T_e87bc_row4_col8" class="data row4 col8" ><span>24.89 [-579.36, 629.15]</span></td>
          <td id="T_e87bc_row4_col9" class="data row4 col9" ><span>174.99 [64.57, 285.40]</span></td>
          <td id="T_e87bc_row4_col10" class="data row4 col10" ><span>12.13 [4.64, 19.63]</span></td>
          <td id="T_e87bc_row4_col11" class="data row4 col11" ><span>0.93 [0.83, 0.97]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level1_row5" class="row_heading level1 row5" rowspan="2">GsdIonescu</th>
          <th id="T_e87bc_level2_row5" class="row_heading level2 row5" >MobGap</th>
          <td id="T_e87bc_row5_col0" class="data row5 col0" >20</td>
          <td id="T_e87bc_row5_col1" class="data row5 col1" ><span>0.88 [0.84, 0.91]</span></td>
          <td id="T_e87bc_row5_col2" class="data row5 col2" ><span>0.86 [0.83, 0.90]</span></td>
          <td id="T_e87bc_row5_col3" class="data row5 col3" ><span>0.87 [0.84, 0.89]</span></td>
          <td id="T_e87bc_row5_col4" class="data row5 col4" ><span>0.96 [0.95, 0.97]</span></td>
          <td id="T_e87bc_row5_col5" class="data row5 col5" ><span>0.97 [0.97, 0.98]</span></td>
          <td id="T_e87bc_row5_col6" class="data row5 col6" ><span>1684.35 [1352.20, 2016.50]</span></td>
          <td id="T_e87bc_row5_col7" class="data row5 col7" ><span>1703.38 [1363.55, 2043.21]</span></td>
          <td id="T_e87bc_row5_col8" class="data row5 col8" ><span>19.03 [-333.52, 371.58]</span></td>
          <td id="T_e87bc_row5_col9" class="data row5 col9" ><span>133.16 [81.17, 185.15]</span></td>
          <td id="T_e87bc_row5_col10" class="data row5 col10" ><span>9.06 [5.31, 12.81]</span></td>
          <td id="T_e87bc_row5_col11" class="data row5 col11" ><span>0.97 [0.93, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row6" class="row_heading level2 row6" >Original Implementation</th>
          <td id="T_e87bc_row6_col0" class="data row6 col0" >20</td>
          <td id="T_e87bc_row6_col1" class="data row6 col1" ><span>0.82 [0.72, 0.91]</span></td>
          <td id="T_e87bc_row6_col2" class="data row6 col2" ><span>0.83 [0.74, 0.92]</span></td>
          <td id="T_e87bc_row6_col3" class="data row6 col3" ><span>0.82 [0.73, 0.91]</span></td>
          <td id="T_e87bc_row6_col4" class="data row6 col4" ><span>0.95 [0.94, 0.96]</span></td>
          <td id="T_e87bc_row6_col5" class="data row6 col5" ><span>0.98 [0.97, 0.98]</span></td>
          <td id="T_e87bc_row6_col6" class="data row6 col6" ><span>1684.35 [1352.20, 2016.50]</span></td>
          <td id="T_e87bc_row6_col7" class="data row6 col7" ><span>1575.46 [1206.80, 1944.13]</span></td>
          <td id="T_e87bc_row6_col8" class="data row6 col8" ><span>-108.89 [-850.55, 632.78]</span></td>
          <td id="T_e87bc_row6_col9" class="data row6 col9" ><span>205.32 [59.11, 351.53]</span></td>
          <td id="T_e87bc_row6_col10" class="data row6 col10" ><span>13.78 [4.24, 23.32]</span></td>
          <td id="T_e87bc_row6_col11" class="data row6 col11" ><span>0.89 [0.74, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level0_row7" class="row_heading level0 row7" rowspan="7">CHF</th>
          <th id="T_e87bc_level1_row7" class="row_heading level1 row7" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_e87bc_level2_row7" class="row_heading level2 row7" >MobGap</th>
          <td id="T_e87bc_row7_col0" class="data row7 col0" >10</td>
          <td id="T_e87bc_row7_col1" class="data row7 col1" ><span>0.94 [0.90, 0.99]</span></td>
          <td id="T_e87bc_row7_col2" class="data row7 col2" ><span>0.65 [0.50, 0.81]</span></td>
          <td id="T_e87bc_row7_col3" class="data row7 col3" ><span>0.74 [0.64, 0.84]</span></td>
          <td id="T_e87bc_row7_col4" class="data row7 col4" ><span>0.93 [0.90, 0.96]</span></td>
          <td id="T_e87bc_row7_col5" class="data row7 col5" ><span>0.94 [0.90, 0.98]</span></td>
          <td id="T_e87bc_row7_col6" class="data row7 col6" ><span>1552.02 [579.11, 2524.93]</span></td>
          <td id="T_e87bc_row7_col7" class="data row7 col7" ><span>1994.35 [1245.80, 2742.90]</span></td>
          <td id="T_e87bc_row7_col8" class="data row7 col8" ><span>442.33 [-1143.88, 2028.54]</span></td>
          <td id="T_e87bc_row7_col9" class="data row7 col9" ><span>684.85 [317.53, 1052.17]</span></td>
          <td id="T_e87bc_row7_col10" class="data row7 col10" ><span>79.60 [28.46, 130.75]</span></td>
          <td id="T_e87bc_row7_col11" class="data row7 col11" ><span>0.81 [0.40, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row8" class="row_heading level2 row8" >Original Implementation</th>
          <td id="T_e87bc_row8_col0" class="data row8 col0" >10</td>
          <td id="T_e87bc_row8_col1" class="data row8 col1" ><span>0.92 [0.87, 0.97]</span></td>
          <td id="T_e87bc_row8_col2" class="data row8 col2" ><span>0.69 [0.55, 0.84]</span></td>
          <td id="T_e87bc_row8_col3" class="data row8 col3" ><span>0.76 [0.67, 0.85]</span></td>
          <td id="T_e87bc_row8_col4" class="data row8 col4" ><span>0.93 [0.91, 0.96]</span></td>
          <td id="T_e87bc_row8_col5" class="data row8 col5" ><span>0.95 [0.92, 0.98]</span></td>
          <td id="T_e87bc_row8_col6" class="data row8 col6" ><span>1552.02 [579.11, 2524.93]</span></td>
          <td id="T_e87bc_row8_col7" class="data row8 col7" ><span>1832.00 [1103.66, 2560.34]</span></td>
          <td id="T_e87bc_row8_col8" class="data row8 col8" ><span>279.98 [-1164.23, 1724.18]</span></td>
          <td id="T_e87bc_row8_col9" class="data row8 col9" ><span>571.66 [251.44, 891.88]</span></td>
          <td id="T_e87bc_row8_col10" class="data row8 col10" ><span>63.23 [20.64, 105.82]</span></td>
          <td id="T_e87bc_row8_col11" class="data row8 col11" ><span>0.85 [0.54, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level1_row9" class="row_heading level1 row9" rowspan="3">GsdIluz</th>
          <th id="T_e87bc_level2_row9" class="row_heading level2 row9" >MobGap</th>
          <td id="T_e87bc_row9_col0" class="data row9 col0" >10</td>
          <td id="T_e87bc_row9_col1" class="data row9 col1" ><span>0.95 [0.93, 0.98]</span></td>
          <td id="T_e87bc_row9_col2" class="data row9 col2" ><span>0.76 [0.67, 0.85]</span></td>
          <td id="T_e87bc_row9_col3" class="data row9 col3" ><span>0.84 [0.77, 0.90]</span></td>
          <td id="T_e87bc_row9_col4" class="data row9 col4" ><span>0.96 [0.94, 0.97]</span></td>
          <td id="T_e87bc_row9_col5" class="data row9 col5" ><span>0.95 [0.92, 0.98]</span></td>
          <td id="T_e87bc_row9_col6" class="data row9 col6" ><span>1552.02 [579.11, 2524.93]</span></td>
          <td id="T_e87bc_row9_col7" class="data row9 col7" ><span>1874.87 [849.58, 2900.16]</span></td>
          <td id="T_e87bc_row9_col8" class="data row9 col8" ><span>322.85 [-192.66, 838.36]</span></td>
          <td id="T_e87bc_row9_col9" class="data row9 col9" ><span>322.85 [159.83, 485.87]</span></td>
          <td id="T_e87bc_row9_col10" class="data row9 col10" ><span>31.12 [12.65, 49.59]</span></td>
          <td id="T_e87bc_row9_col11" class="data row9 col11" ><span>0.97 [0.55, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row10" class="row_heading level2 row10" >MobGap (original peak)</th>
          <td id="T_e87bc_row10_col0" class="data row10 col0" >10</td>
          <td id="T_e87bc_row10_col1" class="data row10 col1" ><span>0.80 [0.74, 0.85]</span></td>
          <td id="T_e87bc_row10_col2" class="data row10 col2" ><span>0.93 [0.89, 0.96]</span><sup>*</sup></td>
          <td id="T_e87bc_row10_col3" class="data row10 col3" ><span>0.86 [0.81, 0.90]</span></td>
          <td id="T_e87bc_row10_col4" class="data row10 col4" ><span>0.97 [0.96, 0.98]</span></td>
          <td id="T_e87bc_row10_col5" class="data row10 col5" ><span>0.99 [0.98, 1.00]</span></td>
          <td id="T_e87bc_row10_col6" class="data row10 col6" ><span>1552.02 [579.11, 2524.93]</span></td>
          <td id="T_e87bc_row10_col7" class="data row10 col7" ><span>1413.81 [431.42, 2396.20]</span></td>
          <td id="T_e87bc_row10_col8" class="data row10 col8" ><span>-138.21 [-275.80, -0.62]</span></td>
          <td id="T_e87bc_row10_col9" class="data row10 col9" ><span>138.21 [94.70, 181.72]</span></td>
          <td id="T_e87bc_row10_col10" class="data row10 col10" ><span>14.04 [9.83, 18.26]</span></td>
          <td id="T_e87bc_row10_col11" class="data row10 col11" ><span>1.00 [0.65, 1.00]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row11" class="row_heading level2 row11" >Original Implementation</th>
          <td id="T_e87bc_row11_col0" class="data row11 col0" >10</td>
          <td id="T_e87bc_row11_col1" class="data row11 col1" ><span>0.84 [0.70, 0.98]</span></td>
          <td id="T_e87bc_row11_col2" class="data row11 col2" ><span>0.81 [0.74, 0.89]</span></td>
          <td id="T_e87bc_row11_col3" class="data row11 col3" ><span>0.81 [0.69, 0.93]</span></td>
          <td id="T_e87bc_row11_col4" class="data row11 col4" ><span>0.96 [0.94, 0.98]</span></td>
          <td id="T_e87bc_row11_col5" class="data row11 col5" ><span>0.97 [0.94, 0.99]</span></td>
          <td id="T_e87bc_row11_col6" class="data row11 col6" ><span>1552.02 [579.11, 2524.93]</span></td>
          <td id="T_e87bc_row11_col7" class="data row11 col7" ><span>1595.96 [555.96, 2635.96]</span></td>
          <td id="T_e87bc_row11_col8" class="data row11 col8" ><span>43.94 [-693.30, 781.18]</span></td>
          <td id="T_e87bc_row11_col9" class="data row11 col9" ><span>239.58 [64.44, 414.73]</span></td>
          <td id="T_e87bc_row11_col10" class="data row11 col10" ><span>20.25 [5.65, 34.86]</span></td>
          <td id="T_e87bc_row11_col11" class="data row11 col11" ><span>0.98 [0.91, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level1_row12" class="row_heading level1 row12" rowspan="2">GsdIonescu</th>
          <th id="T_e87bc_level2_row12" class="row_heading level2 row12" >MobGap</th>
          <td id="T_e87bc_row12_col0" class="data row12 col0" >10</td>
          <td id="T_e87bc_row12_col1" class="data row12 col1" ><span>0.91 [0.89, 0.94]</span></td>
          <td id="T_e87bc_row12_col2" class="data row12 col2" ><span>0.80 [0.71, 0.89]</span></td>
          <td id="T_e87bc_row12_col3" class="data row12 col3" ><span>0.85 [0.79, 0.91]</span></td>
          <td id="T_e87bc_row12_col4" class="data row12 col4" ><span>0.96 [0.94, 0.98]</span></td>
          <td id="T_e87bc_row12_col5" class="data row12 col5" ><span>0.96 [0.94, 0.98]</span></td>
          <td id="T_e87bc_row12_col6" class="data row12 col6" ><span>1552.02 [579.11, 2524.93]</span></td>
          <td id="T_e87bc_row12_col7" class="data row12 col7" ><span>1739.49 [749.21, 2729.77]</span></td>
          <td id="T_e87bc_row12_col8" class="data row12 col8" ><span>187.47 [-333.59, 708.53]</span></td>
          <td id="T_e87bc_row12_col9" class="data row12 col9" ><span>200.00 [41.64, 358.36]</span></td>
          <td id="T_e87bc_row12_col10" class="data row12 col10" ><span>19.03 [1.23, 36.82]</span></td>
          <td id="T_e87bc_row12_col11" class="data row12 col11" ><span>0.98 [0.90, 1.00]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row13" class="row_heading level2 row13" >Original Implementation</th>
          <td id="T_e87bc_row13_col0" class="data row13 col0" >10</td>
          <td id="T_e87bc_row13_col1" class="data row13 col1" ><span>0.90 [0.88, 0.93]</span></td>
          <td id="T_e87bc_row13_col2" class="data row13 col2" ><span>0.82 [0.73, 0.90]</span></td>
          <td id="T_e87bc_row13_col3" class="data row13 col3" ><span>0.85 [0.79, 0.91]</span></td>
          <td id="T_e87bc_row13_col4" class="data row13 col4" ><span>0.96 [0.94, 0.98]</span></td>
          <td id="T_e87bc_row13_col5" class="data row13 col5" ><span>0.97 [0.95, 0.99]</span></td>
          <td id="T_e87bc_row13_col6" class="data row13 col6" ><span>1552.02 [579.11, 2524.93]</span></td>
          <td id="T_e87bc_row13_col7" class="data row13 col7" ><span>1690.52 [709.69, 2671.35]</span></td>
          <td id="T_e87bc_row13_col8" class="data row13 col8" ><span>138.50 [-334.17, 611.17]</span></td>
          <td id="T_e87bc_row13_col9" class="data row13 col9" ><span>173.73 [40.90, 306.57]</span></td>
          <td id="T_e87bc_row13_col10" class="data row13 col10" ><span>16.84 [1.81, 31.87]</span></td>
          <td id="T_e87bc_row13_col11" class="data row13 col11" ><span>0.99 [0.94, 1.00]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level0_row14" class="row_heading level0 row14" rowspan="7">COPD</th>
          <th id="T_e87bc_level1_row14" class="row_heading level1 row14" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_e87bc_level2_row14" class="row_heading level2 row14" >MobGap</th>
          <td id="T_e87bc_row14_col0" class="data row14 col0" >17</td>
          <td id="T_e87bc_row14_col1" class="data row14 col1" ><span>0.94 [0.88, 1.00]</span></td>
          <td id="T_e87bc_row14_col2" class="data row14 col2" ><span>0.63 [0.57, 0.70]</span></td>
          <td id="T_e87bc_row14_col3" class="data row14 col3" ><span>0.74 [0.69, 0.79]</span></td>
          <td id="T_e87bc_row14_col4" class="data row14 col4" ><span>0.92 [0.90, 0.95]</span></td>
          <td id="T_e87bc_row14_col5" class="data row14 col5" ><span>0.93 [0.91, 0.95]</span></td>
          <td id="T_e87bc_row14_col6" class="data row14 col6" ><span>1124.95 [889.96, 1359.93]</span></td>
          <td id="T_e87bc_row14_col7" class="data row14 col7" ><span>1614.72 [1392.44, 1836.99]</span></td>
          <td id="T_e87bc_row14_col8" class="data row14 col8" ><span>489.77 [-388.13, 1367.67]</span></td>
          <td id="T_e87bc_row14_col9" class="data row14 col9" ><span>569.49 [411.19, 727.80]</span></td>
          <td id="T_e87bc_row14_col10" class="data row14 col10" ><span>59.12 [39.86, 78.39]</span></td>
          <td id="T_e87bc_row14_col11" class="data row14 col11" ><span>0.38 [-0.10, 0.73]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row15" class="row_heading level2 row15" >Original Implementation</th>
          <td id="T_e87bc_row15_col0" class="data row15 col0" >17</td>
          <td id="T_e87bc_row15_col1" class="data row15 col1" ><span>0.90 [0.84, 0.96]</span></td>
          <td id="T_e87bc_row15_col2" class="data row15 col2" ><span>0.68 [0.62, 0.75]</span></td>
          <td id="T_e87bc_row15_col3" class="data row15 col3" ><span>0.76 [0.71, 0.82]</span></td>
          <td id="T_e87bc_row15_col4" class="data row15 col4" ><span>0.94 [0.91, 0.96]</span></td>
          <td id="T_e87bc_row15_col5" class="data row15 col5" ><span>0.95 [0.93, 0.96]</span></td>
          <td id="T_e87bc_row15_col6" class="data row15 col6" ><span>1124.95 [889.96, 1359.93]</span></td>
          <td id="T_e87bc_row15_col7" class="data row15 col7" ><span>1417.39 [1233.14, 1601.64]</span></td>
          <td id="T_e87bc_row15_col8" class="data row15 col8" ><span>292.44 [-531.89, 1116.78]</span></td>
          <td id="T_e87bc_row15_col9" class="data row15 col9" ><span>418.60 [282.83, 554.37]</span></td>
          <td id="T_e87bc_row15_col10" class="data row15 col10" ><span>42.60 [27.67, 57.52]</span></td>
          <td id="T_e87bc_row15_col11" class="data row15 col11" ><span>0.46 [0.01, 0.76]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level1_row16" class="row_heading level1 row16" rowspan="3">GsdIluz</th>
          <th id="T_e87bc_level2_row16" class="row_heading level2 row16" >MobGap</th>
          <td id="T_e87bc_row16_col0" class="data row16 col0" >17</td>
          <td id="T_e87bc_row16_col1" class="data row16 col1" ><span>0.87 [0.79, 0.95]</span></td>
          <td id="T_e87bc_row16_col2" class="data row16 col2" ><span>0.69 [0.63, 0.75]</span></td>
          <td id="T_e87bc_row16_col3" class="data row16 col3" ><span>0.76 [0.69, 0.82]</span></td>
          <td id="T_e87bc_row16_col4" class="data row16 col4" ><span>0.93 [0.91, 0.96]</span></td>
          <td id="T_e87bc_row16_col5" class="data row16 col5" ><span>0.95 [0.93, 0.97]</span></td>
          <td id="T_e87bc_row16_col6" class="data row16 col6" ><span>1124.95 [889.96, 1359.93]</span></td>
          <td id="T_e87bc_row16_col7" class="data row16 col7" ><span>1353.32 [1147.54, 1559.10]</span></td>
          <td id="T_e87bc_row16_col8" class="data row16 col8" ><span>228.37 [-821.39, 1278.13]</span></td>
          <td id="T_e87bc_row16_col9" class="data row16 col9" ><span>413.10 [222.39, 603.82]</span></td>
          <td id="T_e87bc_row16_col10" class="data row16 col10" ><span>37.82 [21.48, 54.16]</span></td>
          <td id="T_e87bc_row16_col11" class="data row16 col11" ><span>0.31 [-0.13, 0.67]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row17" class="row_heading level2 row17" >MobGap (original peak)</th>
          <td id="T_e87bc_row17_col0" class="data row17 col0" >17</td>
          <td id="T_e87bc_row17_col1" class="data row17 col1" ><span>0.63 [0.56, 0.71]</span><sup>**</sup></td>
          <td id="T_e87bc_row17_col2" class="data row17 col2" ><span>0.88 [0.81, 0.95]</span><sup>*</sup></td>
          <td id="T_e87bc_row17_col3" class="data row17 col3" ><span>0.72 [0.64, 0.79]</span></td>
          <td id="T_e87bc_row17_col4" class="data row17 col4" ><span>0.94 [0.92, 0.97]</span></td>
          <td id="T_e87bc_row17_col5" class="data row17 col5" ><span>0.99 [0.97, 1.00]</span><sup>*</sup></td>
          <td id="T_e87bc_row17_col6" class="data row17 col6" ><span>1124.95 [889.96, 1359.93]</span></td>
          <td id="T_e87bc_row17_col7" class="data row17 col7" ><span>790.23 [631.57, 948.88]</span></td>
          <td id="T_e87bc_row17_col8" class="data row17 col8" ><span>-334.72 [-1397.73, 728.29]</span></td>
          <td id="T_e87bc_row17_col9" class="data row17 col9" ><span>419.70 [193.70, 645.71]</span></td>
          <td id="T_e87bc_row17_col10" class="data row17 col10" ><span>34.04 [23.32, 44.76]</span></td>
          <td id="T_e87bc_row17_col11" class="data row17 col11" ><span>0.14 [-0.22, 0.52]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row18" class="row_heading level2 row18" >Original Implementation</th>
          <td id="T_e87bc_row18_col0" class="data row18 col0" >17</td>
          <td id="T_e87bc_row18_col1" class="data row18 col1" ><span>0.80 [0.73, 0.88]</span></td>
          <td id="T_e87bc_row18_col2" class="data row18 col2" ><span>0.75 [0.69, 0.82]</span></td>
          <td id="T_e87bc_row18_col3" class="data row18 col3" ><span>0.76 [0.69, 0.83]</span></td>
          <td id="T_e87bc_row18_col4" class="data row18 col4" ><span>0.94 [0.92, 0.97]</span></td>
          <td id="T_e87bc_row18_col5" class="data row18 col5" ><span>0.96 [0.95, 0.98]</span></td>
          <td id="T_e87bc_row18_col6" class="data row18 col6" ><span>1124.95 [889.96, 1359.93]</span></td>
          <td id="T_e87bc_row18_col7" class="data row18 col7" ><span>1152.40 [971.15, 1333.64]</span></td>
          <td id="T_e87bc_row18_col8" class="data row18 col8" ><span>27.45 [-991.47, 1046.37]</span></td>
          <td id="T_e87bc_row18_col9" class="data row18 col9" ><span>264.08 [53.11, 475.05]</span></td>
          <td id="T_e87bc_row18_col10" class="data row18 col10" ><span>22.47 [6.94, 38.00]</span></td>
          <td id="T_e87bc_row18_col11" class="data row18 col11" ><span>0.32 [-0.20, 0.69]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level1_row19" class="row_heading level1 row19" rowspan="2">GsdIonescu</th>
          <th id="T_e87bc_level2_row19" class="row_heading level2 row19" >MobGap</th>
          <td id="T_e87bc_row19_col0" class="data row19 col0" >17</td>
          <td id="T_e87bc_row19_col1" class="data row19 col1" ><span>0.83 [0.75, 0.91]</span></td>
          <td id="T_e87bc_row19_col2" class="data row19 col2" ><span>0.79 [0.76, 0.82]</span></td>
          <td id="T_e87bc_row19_col3" class="data row19 col3" ><span>0.79 [0.73, 0.86]</span></td>
          <td id="T_e87bc_row19_col4" class="data row19 col4" ><span>0.95 [0.93, 0.97]</span></td>
          <td id="T_e87bc_row19_col5" class="data row19 col5" ><span>0.97 [0.97, 0.98]</span></td>
          <td id="T_e87bc_row19_col6" class="data row19 col6" ><span>1124.95 [889.96, 1359.93]</span></td>
          <td id="T_e87bc_row19_col7" class="data row19 col7" ><span>1112.17 [921.13, 1303.21]</span></td>
          <td id="T_e87bc_row19_col8" class="data row19 col8" ><span>-12.77 [-980.07, 954.52]</span></td>
          <td id="T_e87bc_row19_col9" class="data row19 col9" ><span>219.68 [11.13, 428.22]</span></td>
          <td id="T_e87bc_row19_col10" class="data row19 col10" ><span>14.89 [6.70, 23.08]</span></td>
          <td id="T_e87bc_row19_col11" class="data row19 col11" ><span>0.41 [-0.09, 0.74]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row20" class="row_heading level2 row20" >Original Implementation</th>
          <td id="T_e87bc_row20_col0" class="data row20 col0" >17</td>
          <td id="T_e87bc_row20_col1" class="data row20 col1" ><span>0.80 [0.72, 0.88]</span></td>
          <td id="T_e87bc_row20_col2" class="data row20 col2" ><span>0.80 [0.78, 0.83]</span></td>
          <td id="T_e87bc_row20_col3" class="data row20 col3" ><span>0.79 [0.73, 0.85]</span></td>
          <td id="T_e87bc_row20_col4" class="data row20 col4" ><span>0.95 [0.93, 0.97]</span></td>
          <td id="T_e87bc_row20_col5" class="data row20 col5" ><span>0.98 [0.97, 0.98]</span></td>
          <td id="T_e87bc_row20_col6" class="data row20 col6" ><span>1124.95 [889.96, 1359.93]</span></td>
          <td id="T_e87bc_row20_col7" class="data row20 col7" ><span>1059.43 [880.85, 1238.01]</span></td>
          <td id="T_e87bc_row20_col8" class="data row20 col8" ><span>-65.52 [-1017.04, 886.00]</span></td>
          <td id="T_e87bc_row20_col9" class="data row20 col9" ><span>175.11 [-41.52, 391.73]</span></td>
          <td id="T_e87bc_row20_col10" class="data row20 col10" ><span>10.46 [1.97, 18.95]</span></td>
          <td id="T_e87bc_row20_col11" class="data row20 col11" ><span>0.40 [-0.10, 0.73]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level0_row21" class="row_heading level0 row21" rowspan="7">MS</th>
          <th id="T_e87bc_level1_row21" class="row_heading level1 row21" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_e87bc_level2_row21" class="row_heading level2 row21" >MobGap</th>
          <td id="T_e87bc_row21_col0" class="data row21 col0" >18</td>
          <td id="T_e87bc_row21_col1" class="data row21 col1" ><span>0.95 [0.93, 0.98]</span></td>
          <td id="T_e87bc_row21_col2" class="data row21 col2" ><span>0.70 [0.58, 0.82]</span></td>
          <td id="T_e87bc_row21_col3" class="data row21 col3" ><span>0.77 [0.67, 0.87]</span></td>
          <td id="T_e87bc_row21_col4" class="data row21 col4" ><span>0.94 [0.92, 0.96]</span></td>
          <td id="T_e87bc_row21_col5" class="data row21 col5" ><span>0.95 [0.92, 0.97]</span></td>
          <td id="T_e87bc_row21_col6" class="data row21 col6" ><span>1251.49 [877.21, 1625.78]</span></td>
          <td id="T_e87bc_row21_col7" class="data row21 col7" ><span>1587.22 [1314.72, 1859.71]</span></td>
          <td id="T_e87bc_row21_col8" class="data row21 col8" ><span>335.72 [-473.80, 1145.25]</span></td>
          <td id="T_e87bc_row21_col9" class="data row21 col9" ><span>394.59 [231.21, 557.97]</span></td>
          <td id="T_e87bc_row21_col10" class="data row21 col10" ><span>93.47 [11.78, 175.15]</span></td>
          <td id="T_e87bc_row21_col11" class="data row21 col11" ><span>0.75 [0.26, 0.91]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row22" class="row_heading level2 row22" >Original Implementation</th>
          <td id="T_e87bc_row22_col0" class="data row22 col0" >18</td>
          <td id="T_e87bc_row22_col1" class="data row22 col1" ><span>0.93 [0.90, 0.95]</span></td>
          <td id="T_e87bc_row22_col2" class="data row22 col2" ><span>0.73 [0.61, 0.85]</span></td>
          <td id="T_e87bc_row22_col3" class="data row22 col3" ><span>0.78 [0.69, 0.88]</span></td>
          <td id="T_e87bc_row22_col4" class="data row22 col4" ><span>0.95 [0.93, 0.96]</span></td>
          <td id="T_e87bc_row22_col5" class="data row22 col5" ><span>0.96 [0.93, 0.98]</span></td>
          <td id="T_e87bc_row22_col6" class="data row22 col6" ><span>1251.49 [877.21, 1625.78]</span></td>
          <td id="T_e87bc_row22_col7" class="data row22 col7" ><span>1474.04 [1215.71, 1732.36]</span></td>
          <td id="T_e87bc_row22_col8" class="data row22 col8" ><span>222.54 [-583.23, 1028.32]</span></td>
          <td id="T_e87bc_row22_col9" class="data row22 col9" ><span>335.31 [187.48, 483.15]</span></td>
          <td id="T_e87bc_row22_col10" class="data row22 col10" ><span>81.38 [8.11, 154.65]</span></td>
          <td id="T_e87bc_row22_col11" class="data row22 col11" ><span>0.79 [0.49, 0.92]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level1_row23" class="row_heading level1 row23" rowspan="3">GsdIluz</th>
          <th id="T_e87bc_level2_row23" class="row_heading level2 row23" >MobGap</th>
          <td id="T_e87bc_row23_col0" class="data row23 col0" >18</td>
          <td id="T_e87bc_row23_col1" class="data row23 col1" ><span>0.96 [0.92, 0.99]</span></td>
          <td id="T_e87bc_row23_col2" class="data row23 col2" ><span>0.71 [0.66, 0.77]</span><sup>*</sup></td>
          <td id="T_e87bc_row23_col3" class="data row23 col3" ><span>0.81 [0.77, 0.85]</span></td>
          <td id="T_e87bc_row23_col4" class="data row23 col4" ><span>0.95 [0.94, 0.96]</span><sup>*</sup></td>
          <td id="T_e87bc_row23_col5" class="data row23 col5" ><span>0.95 [0.93, 0.96]</span><sup>*</sup></td>
          <td id="T_e87bc_row23_col6" class="data row23 col6" ><span>1251.49 [877.21, 1625.78]</span></td>
          <td id="T_e87bc_row23_col7" class="data row23 col7" ><span>1631.56 [1174.19, 2088.93]</span></td>
          <td id="T_e87bc_row23_col8" class="data row23 col8" ><span>380.07 [-97.44, 857.57]</span></td>
          <td id="T_e87bc_row23_col9" class="data row23 col9" ><span>380.07 [267.52, 492.62]</span></td>
          <td id="T_e87bc_row23_col10" class="data row23 col10" ><span>37.78 [26.16, 49.41]</span><sup>*</sup></td>
          <td id="T_e87bc_row23_col11" class="data row23 col11" ><span>0.89 [0.05, 0.97]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row24" class="row_heading level2 row24" >MobGap (original peak)</th>
          <td id="T_e87bc_row24_col0" class="data row24 col0" >18</td>
          <td id="T_e87bc_row24_col1" class="data row24 col1" ><span>0.82 [0.74, 0.91]</span></td>
          <td id="T_e87bc_row24_col2" class="data row24 col2" ><span>0.91 [0.88, 0.93]</span><sup>**</sup></td>
          <td id="T_e87bc_row24_col3" class="data row24 col3" ><span>0.85 [0.79, 0.92]</span></td>
          <td id="T_e87bc_row24_col4" class="data row24 col4" ><span>0.97 [0.97, 0.98]</span><sup>*</sup></td>
          <td id="T_e87bc_row24_col5" class="data row24 col5" ><span>0.99 [0.98, 0.99]</span><sup>**</sup></td>
          <td id="T_e87bc_row24_col6" class="data row24 col6" ><span>1251.49 [877.21, 1625.78]</span></td>
          <td id="T_e87bc_row24_col7" class="data row24 col7" ><span>1185.03 [801.15, 1568.90]</span></td>
          <td id="T_e87bc_row24_col8" class="data row24 col8" ><span>-66.47 [-361.78, 228.84]</span></td>
          <td id="T_e87bc_row24_col9" class="data row24 col9" ><span>100.19 [40.39, 159.98]</span></td>
          <td id="T_e87bc_row24_col10" class="data row24 col10" ><span>11.65 [3.40, 19.89]</span></td>
          <td id="T_e87bc_row24_col11" class="data row24 col11" ><span>0.98 [0.95, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row25" class="row_heading level2 row25" >Original Implementation</th>
          <td id="T_e87bc_row25_col0" class="data row25 col0" >18</td>
          <td id="T_e87bc_row25_col1" class="data row25 col1" ><span>0.92 [0.86, 0.97]</span></td>
          <td id="T_e87bc_row25_col2" class="data row25 col2" ><span>0.79 [0.74, 0.83]</span></td>
          <td id="T_e87bc_row25_col3" class="data row25 col3" ><span>0.84 [0.80, 0.89]</span></td>
          <td id="T_e87bc_row25_col4" class="data row25 col4" ><span>0.96 [0.96, 0.97]</span></td>
          <td id="T_e87bc_row25_col5" class="data row25 col5" ><span>0.96 [0.95, 0.97]</span></td>
          <td id="T_e87bc_row25_col6" class="data row25 col6" ><span>1251.49 [877.21, 1625.78]</span></td>
          <td id="T_e87bc_row25_col7" class="data row25 col7" ><span>1452.55 [1023.62, 1881.47]</span></td>
          <td id="T_e87bc_row25_col8" class="data row25 col8" ><span>201.05 [-185.38, 587.49]</span></td>
          <td id="T_e87bc_row25_col9" class="data row25 col9" ><span>228.60 [153.63, 303.58]</span></td>
          <td id="T_e87bc_row25_col10" class="data row25 col10" ><span>20.21 [14.84, 25.58]</span></td>
          <td id="T_e87bc_row25_col11" class="data row25 col11" ><span>0.95 [0.62, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level1_row26" class="row_heading level1 row26" rowspan="2">GsdIonescu</th>
          <th id="T_e87bc_level2_row26" class="row_heading level2 row26" >MobGap</th>
          <td id="T_e87bc_row26_col0" class="data row26 col0" >18</td>
          <td id="T_e87bc_row26_col1" class="data row26 col1" ><span>0.93 [0.89, 0.96]</span></td>
          <td id="T_e87bc_row26_col2" class="data row26 col2" ><span>0.79 [0.74, 0.84]</span></td>
          <td id="T_e87bc_row26_col3" class="data row26 col3" ><span>0.85 [0.81, 0.89]</span></td>
          <td id="T_e87bc_row26_col4" class="data row26 col4" ><span>0.96 [0.95, 0.97]</span></td>
          <td id="T_e87bc_row26_col5" class="data row26 col5" ><span>0.96 [0.95, 0.98]</span></td>
          <td id="T_e87bc_row26_col6" class="data row26 col6" ><span>1251.49 [877.21, 1625.78]</span></td>
          <td id="T_e87bc_row26_col7" class="data row26 col7" ><span>1463.24 [1011.32, 1915.16]</span></td>
          <td id="T_e87bc_row26_col8" class="data row26 col8" ><span>211.75 [-273.11, 696.61]</span></td>
          <td id="T_e87bc_row26_col9" class="data row26 col9" ><span>232.25 [127.35, 337.15]</span></td>
          <td id="T_e87bc_row26_col10" class="data row26 col10" ><span>20.34 [13.21, 27.46]</span></td>
          <td id="T_e87bc_row26_col11" class="data row26 col11" ><span>0.94 [0.68, 0.98]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row27" class="row_heading level2 row27" >Original Implementation</th>
          <td id="T_e87bc_row27_col0" class="data row27 col0" >18</td>
          <td id="T_e87bc_row27_col1" class="data row27 col1" ><span>0.91 [0.87, 0.95]</span></td>
          <td id="T_e87bc_row27_col2" class="data row27 col2" ><span>0.80 [0.75, 0.85]</span></td>
          <td id="T_e87bc_row27_col3" class="data row27 col3" ><span>0.85 [0.81, 0.89]</span></td>
          <td id="T_e87bc_row27_col4" class="data row27 col4" ><span>0.96 [0.96, 0.97]</span></td>
          <td id="T_e87bc_row27_col5" class="data row27 col5" ><span>0.97 [0.96, 0.98]</span></td>
          <td id="T_e87bc_row27_col6" class="data row27 col6" ><span>1251.49 [877.21, 1625.78]</span></td>
          <td id="T_e87bc_row27_col7" class="data row27 col7" ><span>1417.05 [981.70, 1852.40]</span></td>
          <td id="T_e87bc_row27_col8" class="data row27 col8" ><span>165.55 [-262.59, 593.69]</span></td>
          <td id="T_e87bc_row27_col9" class="data row27 col9" ><span>193.15 [104.00, 282.29]</span></td>
          <td id="T_e87bc_row27_col10" class="data row27 col10" ><span>17.22 [10.54, 23.91]</span></td>
          <td id="T_e87bc_row27_col11" class="data row27 col11" ><span>0.95 [0.79, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level0_row28" class="row_heading level0 row28" rowspan="7">PD</th>
          <th id="T_e87bc_level1_row28" class="row_heading level1 row28" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_e87bc_level2_row28" class="row_heading level2 row28" >MobGap</th>
          <td id="T_e87bc_row28_col0" class="data row28 col0" >19</td>
          <td id="T_e87bc_row28_col1" class="data row28 col1" ><span>0.94 [0.90, 0.97]</span></td>
          <td id="T_e87bc_row28_col2" class="data row28 col2" ><span>0.70 [0.57, 0.83]</span></td>
          <td id="T_e87bc_row28_col3" class="data row28 col3" ><span>0.75 [0.65, 0.86]</span></td>
          <td id="T_e87bc_row28_col4" class="data row28 col4" ><span>0.94 [0.92, 0.97]</span></td>
          <td id="T_e87bc_row28_col5" class="data row28 col5" ><span>0.95 [0.92, 0.98]</span></td>
          <td id="T_e87bc_row28_col6" class="data row28 col6" ><span>1157.40 [701.98, 1612.83]</span></td>
          <td id="T_e87bc_row28_col7" class="data row28 col7" ><span>1417.78 [1054.61, 1780.95]</span></td>
          <td id="T_e87bc_row28_col8" class="data row28 col8" ><span>260.38 [-1176.91, 1697.67]</span></td>
          <td id="T_e87bc_row28_col9" class="data row28 col9" ><span>466.07 [188.87, 743.26]</span></td>
          <td id="T_e87bc_row28_col10" class="data row28 col10" ><span>124.15 [7.36, 240.93]</span></td>
          <td id="T_e87bc_row28_col11" class="data row28 col11" ><span>0.66 [0.32, 0.85]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row29" class="row_heading level2 row29" >Original Implementation</th>
          <td id="T_e87bc_row29_col0" class="data row29 col0" >19</td>
          <td id="T_e87bc_row29_col1" class="data row29 col1" ><span>0.92 [0.88, 0.96]</span></td>
          <td id="T_e87bc_row29_col2" class="data row29 col2" ><span>0.73 [0.60, 0.86]</span></td>
          <td id="T_e87bc_row29_col3" class="data row29 col3" ><span>0.76 [0.66, 0.86]</span></td>
          <td id="T_e87bc_row29_col4" class="data row29 col4" ><span>0.95 [0.92, 0.97]</span></td>
          <td id="T_e87bc_row29_col5" class="data row29 col5" ><span>0.96 [0.94, 0.98]</span></td>
          <td id="T_e87bc_row29_col6" class="data row29 col6" ><span>1157.40 [701.98, 1612.83]</span></td>
          <td id="T_e87bc_row29_col7" class="data row29 col7" ><span>1327.51 [984.69, 1670.32]</span></td>
          <td id="T_e87bc_row29_col8" class="data row29 col8" ><span>170.10 [-1091.46, 1431.67]</span></td>
          <td id="T_e87bc_row29_col9" class="data row29 col9" ><span>413.48 [182.28, 644.68]</span></td>
          <td id="T_e87bc_row29_col10" class="data row29 col10" ><span>108.13 [9.44, 206.83]</span></td>
          <td id="T_e87bc_row29_col11" class="data row29 col11" ><span>0.74 [0.45, 0.89]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level1_row30" class="row_heading level1 row30" rowspan="3">GsdIluz</th>
          <th id="T_e87bc_level2_row30" class="row_heading level2 row30" >MobGap</th>
          <td id="T_e87bc_row30_col0" class="data row30 col0" >19</td>
          <td id="T_e87bc_row30_col1" class="data row30 col1" ><span>0.95 [0.93, 0.98]</span><sup>*</sup></td>
          <td id="T_e87bc_row30_col2" class="data row30 col2" ><span>0.79 [0.72, 0.85]</span></td>
          <td id="T_e87bc_row30_col3" class="data row30 col3" ><span>0.86 [0.80, 0.91]</span></td>
          <td id="T_e87bc_row30_col4" class="data row30 col4" ><span>0.96 [0.95, 0.98]</span></td>
          <td id="T_e87bc_row30_col5" class="data row30 col5" ><span>0.96 [0.94, 0.98]</span></td>
          <td id="T_e87bc_row30_col6" class="data row30 col6" ><span>1157.40 [701.98, 1612.83]</span></td>
          <td id="T_e87bc_row30_col7" class="data row30 col7" ><span>1360.28 [850.90, 1869.65]</span></td>
          <td id="T_e87bc_row30_col8" class="data row30 col8" ><span>202.88 [-169.75, 575.51]</span></td>
          <td id="T_e87bc_row30_col9" class="data row30 col9" ><span>204.11 [119.25, 288.97]</span></td>
          <td id="T_e87bc_row30_col10" class="data row30 col10" ><span>27.15 [9.48, 44.83]</span></td>
          <td id="T_e87bc_row30_col11" class="data row30 col11" ><span>0.97 [0.70, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row31" class="row_heading level2 row31" >MobGap (original peak)</th>
          <td id="T_e87bc_row31_col0" class="data row31 col0" >19</td>
          <td id="T_e87bc_row31_col1" class="data row31 col1" ><span>0.75 [0.64, 0.86]</span></td>
          <td id="T_e87bc_row31_col2" class="data row31 col2" ><span>0.90 [0.80, 1.00]</span></td>
          <td id="T_e87bc_row31_col3" class="data row31 col3" ><span>0.81 [0.71, 0.91]</span></td>
          <td id="T_e87bc_row31_col4" class="data row31 col4" ><span>0.97 [0.96, 0.98]</span></td>
          <td id="T_e87bc_row31_col5" class="data row31 col5" ><span>0.99 [0.99, 1.00]</span><sup>**</sup></td>
          <td id="T_e87bc_row31_col6" class="data row31 col6" ><span>1157.40 [701.98, 1612.83]</span></td>
          <td id="T_e87bc_row31_col7" class="data row31 col7" ><span>979.61 [540.22, 1418.99]</span></td>
          <td id="T_e87bc_row31_col8" class="data row31 col8" ><span>-177.80 [-477.08, 121.49]</span></td>
          <td id="T_e87bc_row31_col9" class="data row31 col9" ><span>181.69 [115.23, 248.14]</span></td>
          <td id="T_e87bc_row31_col10" class="data row31 col10" ><span>21.79 [11.93, 31.65]</span></td>
          <td id="T_e87bc_row31_col11" class="data row31 col11" ><span>0.97 [0.68, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row32" class="row_heading level2 row32" >Original Implementation</th>
          <td id="T_e87bc_row32_col0" class="data row32 col0" >19</td>
          <td id="T_e87bc_row32_col1" class="data row32 col1" ><span>0.86 [0.78, 0.93]</span></td>
          <td id="T_e87bc_row32_col2" class="data row32 col2" ><span>0.84 [0.77, 0.91]</span></td>
          <td id="T_e87bc_row32_col3" class="data row32 col3" ><span>0.84 [0.77, 0.91]</span></td>
          <td id="T_e87bc_row32_col4" class="data row32 col4" ><span>0.97 [0.96, 0.98]</span></td>
          <td id="T_e87bc_row32_col5" class="data row32 col5" ><span>0.98 [0.97, 0.99]</span></td>
          <td id="T_e87bc_row32_col6" class="data row32 col6" ><span>1157.40 [701.98, 1612.83]</span></td>
          <td id="T_e87bc_row32_col7" class="data row32 col7" ><span>1177.75 [691.49, 1664.01]</span></td>
          <td id="T_e87bc_row32_col8" class="data row32 col8" ><span>20.35 [-271.37, 312.07]</span></td>
          <td id="T_e87bc_row32_col9" class="data row32 col9" ><span>103.50 [55.74, 151.26]</span></td>
          <td id="T_e87bc_row32_col10" class="data row32 col10" ><span>13.38 [8.08, 18.68]</span></td>
          <td id="T_e87bc_row32_col11" class="data row32 col11" ><span>0.99 [0.98, 1.00]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level1_row33" class="row_heading level1 row33" rowspan="2">GsdIonescu</th>
          <th id="T_e87bc_level2_row33" class="row_heading level2 row33" >MobGap</th>
          <td id="T_e87bc_row33_col0" class="data row33 col0" >19</td>
          <td id="T_e87bc_row33_col1" class="data row33 col1" ><span>0.86 [0.79, 0.93]</span></td>
          <td id="T_e87bc_row33_col2" class="data row33 col2" ><span>0.85 [0.77, 0.92]</span></td>
          <td id="T_e87bc_row33_col3" class="data row33 col3" ><span>0.84 [0.78, 0.91]</span></td>
          <td id="T_e87bc_row33_col4" class="data row33 col4" ><span>0.97 [0.96, 0.98]</span></td>
          <td id="T_e87bc_row33_col5" class="data row33 col5" ><span>0.98 [0.97, 0.99]</span></td>
          <td id="T_e87bc_row33_col6" class="data row33 col6" ><span>1157.40 [701.98, 1612.83]</span></td>
          <td id="T_e87bc_row33_col7" class="data row33 col7" ><span>1181.56 [689.78, 1673.34]</span></td>
          <td id="T_e87bc_row33_col8" class="data row33 col8" ><span>24.16 [-341.15, 389.47]</span></td>
          <td id="T_e87bc_row33_col9" class="data row33 col9" ><span>139.33 [84.52, 194.15]</span></td>
          <td id="T_e87bc_row33_col10" class="data row33 col10" ><span>20.05 [10.65, 29.46]</span></td>
          <td id="T_e87bc_row33_col11" class="data row33 col11" ><span>0.98 [0.96, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row34" class="row_heading level2 row34" >Original Implementation</th>
          <td id="T_e87bc_row34_col0" class="data row34 col0" >19</td>
          <td id="T_e87bc_row34_col1" class="data row34 col1" ><span>0.84 [0.76, 0.91]</span></td>
          <td id="T_e87bc_row34_col2" class="data row34 col2" ><span>0.86 [0.79, 0.94]</span></td>
          <td id="T_e87bc_row34_col3" class="data row34 col3" ><span>0.84 [0.77, 0.90]</span></td>
          <td id="T_e87bc_row34_col4" class="data row34 col4" ><span>0.97 [0.96, 0.98]</span></td>
          <td id="T_e87bc_row34_col5" class="data row34 col5" ><span>0.98 [0.97, 0.99]</span></td>
          <td id="T_e87bc_row34_col6" class="data row34 col6" ><span>1157.40 [701.98, 1612.83]</span></td>
          <td id="T_e87bc_row34_col7" class="data row34 col7" ><span>1146.39 [664.16, 1628.61]</span></td>
          <td id="T_e87bc_row34_col8" class="data row34 col8" ><span>-11.02 [-359.25, 337.21]</span></td>
          <td id="T_e87bc_row34_col9" class="data row34 col9" ><span>136.08 [86.51, 185.64]</span></td>
          <td id="T_e87bc_row34_col10" class="data row34 col10" ><span>19.84 [10.58, 29.11]</span></td>
          <td id="T_e87bc_row34_col11" class="data row34 col11" ><span>0.99 [0.96, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level0_row35" class="row_heading level0 row35" rowspan="7">PFF</th>
          <th id="T_e87bc_level1_row35" class="row_heading level1 row35" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_e87bc_level2_row35" class="row_heading level2 row35" >MobGap</th>
          <td id="T_e87bc_row35_col0" class="data row35 col0" >17</td>
          <td id="T_e87bc_row35_col1" class="data row35 col1" ><span>0.91 [0.80, 1.02]</span></td>
          <td id="T_e87bc_row35_col2" class="data row35 col2" ><span>0.51 [0.36, 0.67]</span></td>
          <td id="T_e87bc_row35_col3" class="data row35 col3" ><span>0.60 [0.44, 0.75]</span></td>
          <td id="T_e87bc_row35_col4" class="data row35 col4" ><span>0.89 [0.85, 0.93]</span></td>
          <td id="T_e87bc_row35_col5" class="data row35 col5" ><span>0.89 [0.85, 0.93]</span></td>
          <td id="T_e87bc_row35_col6" class="data row35 col6" ><span>873.05 [560.20, 1185.89]</span></td>
          <td id="T_e87bc_row35_col7" class="data row35 col7" ><span>1808.75 [1401.95, 2215.54]</span></td>
          <td id="T_e87bc_row35_col8" class="data row35 col8" ><span>935.70 [-1174.63, 3046.03]</span></td>
          <td id="T_e87bc_row35_col9" class="data row35 col9" ><span>936.77 [425.41, 1448.13]</span></td>
          <td id="T_e87bc_row35_col10" class="data row35 col10" ><span>465.43 [-129.92, 1060.79]</span></td>
          <td id="T_e87bc_row35_col11" class="data row35 col11" ><span>0.00 [-0.23, 0.34]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row36" class="row_heading level2 row36" >Original Implementation</th>
          <td id="T_e87bc_row36_col0" class="data row36 col0" >17</td>
          <td id="T_e87bc_row36_col1" class="data row36 col1" ><span>0.89 [0.78, 1.00]</span></td>
          <td id="T_e87bc_row36_col2" class="data row36 col2" ><span>0.54 [0.38, 0.70]</span></td>
          <td id="T_e87bc_row36_col3" class="data row36 col3" ><span>0.61 [0.46, 0.76]</span></td>
          <td id="T_e87bc_row36_col4" class="data row36 col4" ><span>0.91 [0.88, 0.95]</span></td>
          <td id="T_e87bc_row36_col5" class="data row36 col5" ><span>0.92 [0.88, 0.96]</span></td>
          <td id="T_e87bc_row36_col6" class="data row36 col6" ><span>873.05 [560.20, 1185.89]</span></td>
          <td id="T_e87bc_row36_col7" class="data row36 col7" ><span>1528.41 [1119.58, 1937.25]</span></td>
          <td id="T_e87bc_row36_col8" class="data row36 col8" ><span>655.37 [-1282.37, 2593.10]</span></td>
          <td id="T_e87bc_row36_col9" class="data row36 col9" ><span>673.15 [209.26, 1137.05]</span></td>
          <td id="T_e87bc_row36_col10" class="data row36 col10" ><span>424.54 [-133.18, 982.26]</span></td>
          <td id="T_e87bc_row36_col11" class="data row36 col11" ><span>0.13 [-0.21, 0.51]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level1_row37" class="row_heading level1 row37" rowspan="3">GsdIluz</th>
          <th id="T_e87bc_level2_row37" class="row_heading level2 row37" >MobGap</th>
          <td id="T_e87bc_row37_col0" class="data row37 col0" >17</td>
          <td id="T_e87bc_row37_col1" class="data row37 col1" ><span>0.80 [0.66, 0.93]</span></td>
          <td id="T_e87bc_row37_col2" class="data row37 col2" ><span>0.69 [0.58, 0.81]</span></td>
          <td id="T_e87bc_row37_col3" class="data row37 col3" ><span>0.73 [0.61, 0.84]</span></td>
          <td id="T_e87bc_row37_col4" class="data row37 col4" ><span>0.96 [0.95, 0.98]</span></td>
          <td id="T_e87bc_row37_col5" class="data row37 col5" ><span>0.96 [0.95, 0.98]</span></td>
          <td id="T_e87bc_row37_col6" class="data row37 col6" ><span>873.05 [560.20, 1185.89]</span></td>
          <td id="T_e87bc_row37_col7" class="data row37 col7" ><span>1091.64 [689.35, 1493.93]</span></td>
          <td id="T_e87bc_row37_col8" class="data row37 col8" ><span>218.60 [-326.07, 763.26]</span></td>
          <td id="T_e87bc_row37_col9" class="data row37 col9" ><span>241.51 [119.37, 363.66]</span></td>
          <td id="T_e87bc_row37_col10" class="data row37 col10" ><span>30.05 [13.41, 46.68]</span></td>
          <td id="T_e87bc_row37_col11" class="data row37 col11" ><span>0.90 [0.58, 0.97]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row38" class="row_heading level2 row38" >MobGap (original peak)</th>
          <td id="T_e87bc_row38_col0" class="data row38 col0" >17</td>
          <td id="T_e87bc_row38_col1" class="data row38 col1" ><span>0.48 [0.32, 0.64]</span></td>
          <td id="T_e87bc_row38_col2" class="data row38 col2" ><span>0.65 [0.44, 0.86]</span></td>
          <td id="T_e87bc_row38_col3" class="data row38 col3" ><span>0.54 [0.37, 0.72]</span></td>
          <td id="T_e87bc_row38_col4" class="data row38 col4" ><span>0.96 [0.94, 0.97]</span></td>
          <td id="T_e87bc_row38_col5" class="data row38 col5" ><span>0.99 [0.99, 1.00]</span><sup>*</sup></td>
          <td id="T_e87bc_row38_col6" class="data row38 col6" ><span>873.05 [560.20, 1185.89]</span></td>
          <td id="T_e87bc_row38_col7" class="data row38 col7" ><span>576.99 [339.50, 814.48]</span></td>
          <td id="T_e87bc_row38_col8" class="data row38 col8" ><span>-296.06 [-813.04, 220.93]</span></td>
          <td id="T_e87bc_row38_col9" class="data row38 col9" ><span>296.06 [170.67, 421.44]</span></td>
          <td id="T_e87bc_row38_col10" class="data row38 col10" ><span>42.12 [26.54, 57.70]</span></td>
          <td id="T_e87bc_row38_col11" class="data row38 col11" ><span>0.80 [0.11, 0.94]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row39" class="row_heading level2 row39" >Original Implementation</th>
          <td id="T_e87bc_row39_col0" class="data row39 col0" >17</td>
          <td id="T_e87bc_row39_col1" class="data row39 col1" ><span>0.63 [0.45, 0.80]</span></td>
          <td id="T_e87bc_row39_col2" class="data row39 col2" ><span>0.66 [0.51, 0.82]</span></td>
          <td id="T_e87bc_row39_col3" class="data row39 col3" ><span>0.62 [0.45, 0.79]</span></td>
          <td id="T_e87bc_row39_col4" class="data row39 col4" ><span>0.96 [0.95, 0.97]</span></td>
          <td id="T_e87bc_row39_col5" class="data row39 col5" ><span>0.98 [0.97, 0.99]</span></td>
          <td id="T_e87bc_row39_col6" class="data row39 col6" ><span>873.05 [560.20, 1185.89]</span></td>
          <td id="T_e87bc_row39_col7" class="data row39 col7" ><span>861.37 [515.16, 1207.58]</span></td>
          <td id="T_e87bc_row39_col8" class="data row39 col8" ><span>-11.68 [-383.47, 360.12]</span></td>
          <td id="T_e87bc_row39_col9" class="data row39 col9" ><span>136.35 [75.52, 197.18]</span></td>
          <td id="T_e87bc_row39_col10" class="data row39 col10" ><span>26.66 [11.19, 42.13]</span></td>
          <td id="T_e87bc_row39_col11" class="data row39 col11" ><span>0.96 [0.91, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level1_row40" class="row_heading level1 row40" rowspan="2">GsdIonescu</th>
          <th id="T_e87bc_level2_row40" class="row_heading level2 row40" >MobGap</th>
          <td id="T_e87bc_row40_col0" class="data row40 col0" >17</td>
          <td id="T_e87bc_row40_col1" class="data row40 col1" ><span>0.70 [0.56, 0.84]</span></td>
          <td id="T_e87bc_row40_col2" class="data row40 col2" ><span>0.79 [0.68, 0.91]</span></td>
          <td id="T_e87bc_row40_col3" class="data row40 col3" ><span>0.72 [0.59, 0.85]</span></td>
          <td id="T_e87bc_row40_col4" class="data row40 col4" ><span>0.97 [0.96, 0.98]</span></td>
          <td id="T_e87bc_row40_col5" class="data row40 col5" ><span>0.98 [0.98, 0.99]</span></td>
          <td id="T_e87bc_row40_col6" class="data row40 col6" ><span>873.05 [560.20, 1185.89]</span></td>
          <td id="T_e87bc_row40_col7" class="data row40 col7" ><span>846.95 [539.60, 1154.30]</span></td>
          <td id="T_e87bc_row40_col8" class="data row40 col8" ><span>-26.09 [-367.42, 315.23]</span></td>
          <td id="T_e87bc_row40_col9" class="data row40 col9" ><span>130.15 [75.84, 184.46]</span></td>
          <td id="T_e87bc_row40_col10" class="data row40 col10" ><span>24.57 [10.94, 38.19]</span></td>
          <td id="T_e87bc_row40_col11" class="data row40 col11" ><span>0.97 [0.91, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_e87bc_level2_row41" class="row_heading level2 row41" >Original Implementation</th>
          <td id="T_e87bc_row41_col0" class="data row41 col0" >17</td>
          <td id="T_e87bc_row41_col1" class="data row41 col1" ><span>0.68 [0.54, 0.82]</span></td>
          <td id="T_e87bc_row41_col2" class="data row41 col2" ><span>0.80 [0.69, 0.92]</span></td>
          <td id="T_e87bc_row41_col3" class="data row41 col3" ><span>0.71 [0.58, 0.84]</span></td>
          <td id="T_e87bc_row41_col4" class="data row41 col4" ><span>0.97 [0.96, 0.98]</span></td>
          <td id="T_e87bc_row41_col5" class="data row41 col5" ><span>0.99 [0.98, 0.99]</span></td>
          <td id="T_e87bc_row41_col6" class="data row41 col6" ><span>873.05 [560.20, 1185.89]</span></td>
          <td id="T_e87bc_row41_col7" class="data row41 col7" ><span>810.96 [518.48, 1103.43]</span></td>
          <td id="T_e87bc_row41_col8" class="data row41 col8" ><span>-62.09 [-408.99, 284.81]</span></td>
          <td id="T_e87bc_row41_col9" class="data row41 col9" ><span>126.58 [62.10, 191.05]</span></td>
          <td id="T_e87bc_row41_col10" class="data row41 col10" ><span>24.31 [10.75, 37.86]</span></td>
          <td id="T_e87bc_row41_col11" class="data row41 col11" ><span>0.96 [0.89, 0.98]</span></td>
        </tr>
      </tbody>
    </table>

    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 400-406

Per relevant cohort
~~~~~~~~~~~~~~~~~~~
Overview over all cohorts is good, but this is not how the GSD algorithms are used in our main pipeline.
Here, the HA, CHF, and COPD cohort use the ``GsdIluz`` algorithm, while the ``GsdIonescu`` algorithm is used for the
MS, PD, PFF cohorts.
Let's look at the performance of these algorithms on the respective cohorts.

.. GENERATED FROM PYTHON SOURCE LINES 406-436

.. code-block:: Python

    from mobgap.pipeline import MobilisedPipelineHealthy, MobilisedPipelineImpaired

    low_impairment_algo = "GsdIluz"
    low_impairment_cohorts = list(MobilisedPipelineHealthy().recommended_cohorts)

    low_impairment_results = results_long[
        results_long["cohort"].isin(low_impairment_cohorts)
    ].query("algo == @low_impairment_algo")

    fig, ax = plt.subplots()
    sns.boxplot(
        data=low_impairment_results,
        x="cohort",
        y="f1_score",
        hue="version",
        hue_order=hue_order,
        ax=ax,
    )
    sns.boxplot(
        data=low_impairment_results,
        x="_combined",
        y="f1_score",
        hue="version",
        hue_order=hue_order,
        legend=False,
        ax=ax,
    )
    fig.suptitle(f"Low Impairment Cohorts ({low_impairment_algo})")
    fig.show()




.. image-sg:: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_003.png
   :alt: Low Impairment Cohorts (GsdIluz)
   :srcset: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_003.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 437-445

.. code-block:: Python

    perf_metrics_per_cohort.copy().loc[
        pd.IndexSlice[low_impairment_cohorts, low_impairment_algo], :
    ].reset_index("algo", drop=True).style.pipe(
        revalidation_table_styles,
        validation_thresholds,
        ["cohort"],
    )






.. raw:: html

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    #T_a9c5e_row2_col0, #T_a9c5e_row2_col6, #T_a9c5e_row2_col7, #T_a9c5e_row2_col8, #T_a9c5e_row5_col0, #T_a9c5e_row5_col6, #T_a9c5e_row5_col7, #T_a9c5e_row5_col8, #T_a9c5e_row8_col0, #T_a9c5e_row8_col6, #T_a9c5e_row8_col7, #T_a9c5e_row8_col8, #T_a9c5e_row8_col9 {
      border-bottom: 2px solid black;
    }
    #T_a9c5e_row2_col1, #T_a9c5e_row2_col2, #T_a9c5e_row2_col3, #T_a9c5e_row2_col4, #T_a9c5e_row2_col5, #T_a9c5e_row5_col1, #T_a9c5e_row5_col2, #T_a9c5e_row5_col5, #T_a9c5e_row8_col1, #T_a9c5e_row8_col2, #T_a9c5e_row8_col3, #T_a9c5e_row8_col4, #T_a9c5e_row8_col5, #T_a9c5e_row8_col11 {
      background-color: lightgreen;
      border-bottom: 2px solid black;
    }
    #T_a9c5e_row2_col9, #T_a9c5e_row5_col9 {
      font-weight: bold;
      border-bottom: 2px solid black;
    }
    #T_a9c5e_row2_col10, #T_a9c5e_row2_col11, #T_a9c5e_row5_col3, #T_a9c5e_row5_col4 {
      font-weight: bold;
      background-color: lightgreen;
      border-bottom: 2px solid black;
    }
    #T_a9c5e_row5_col10, #T_a9c5e_row5_col11 {
      font-weight: bold;
      background-color: lightcoral;
      border-bottom: 2px solid black;
    }
    #T_a9c5e_row7_col9 {
      font-weight: bold;
    }
    #T_a9c5e_row8_col10 {
      background-color: lightcoral;
      border-bottom: 2px solid black;
    }
    </style>
    <table id="T_a9c5e" class="dataframe">
      <thead>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank level0" >&nbsp;</th>
          <th id="T_a9c5e_level0_col0" class="col_heading level0 col0" >General</th>
          <th id="T_a9c5e_level0_col1" class="col_heading level0 col1" colspan="5">GSD</th>
          <th id="T_a9c5e_level0_col6" class="col_heading level0 col6" colspan="6">GS duration</th>
        </tr>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank level1" >&nbsp;</th>
          <th id="T_a9c5e_level1_col0" class="col_heading level1 col0" ># recordings</th>
          <th id="T_a9c5e_level1_col1" class="col_heading level1 col1" >Recall</th>
          <th id="T_a9c5e_level1_col2" class="col_heading level1 col2" >Precision</th>
          <th id="T_a9c5e_level1_col3" class="col_heading level1 col3" >F1 Score</th>
          <th id="T_a9c5e_level1_col4" class="col_heading level1 col4" >Accuracy</th>
          <th id="T_a9c5e_level1_col5" class="col_heading level1 col5" >Specificity</th>
          <th id="T_a9c5e_level1_col6" class="col_heading level1 col6" >INDIP mean and CI [s]</th>
          <th id="T_a9c5e_level1_col7" class="col_heading level1 col7" >WD mean and CI [s]</th>
          <th id="T_a9c5e_level1_col8" class="col_heading level1 col8" >Bias and LoA [s]</th>
          <th id="T_a9c5e_level1_col9" class="col_heading level1 col9" >Abs. Error [s]</th>
          <th id="T_a9c5e_level1_col10" class="col_heading level1 col10" >Abs. Rel. Error [%]</th>
          <th id="T_a9c5e_level1_col11" class="col_heading level1 col11" >ICC</th>
        </tr>
        <tr>
          <th class="index_name level0" >cohort</th>
          <th class="index_name level1" >version</th>
          <th class="blank col0" >&nbsp;</th>
          <th class="blank col1" >&nbsp;</th>
          <th class="blank col2" >&nbsp;</th>
          <th class="blank col3" >&nbsp;</th>
          <th class="blank col4" >&nbsp;</th>
          <th class="blank col5" >&nbsp;</th>
          <th class="blank col6" >&nbsp;</th>
          <th class="blank col7" >&nbsp;</th>
          <th class="blank col8" >&nbsp;</th>
          <th class="blank col9" >&nbsp;</th>
          <th class="blank col10" >&nbsp;</th>
          <th class="blank col11" >&nbsp;</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th id="T_a9c5e_level0_row0" class="row_heading level0 row0" rowspan="3">HA</th>
          <th id="T_a9c5e_level1_row0" class="row_heading level1 row0" >MobGap</th>
          <td id="T_a9c5e_row0_col0" class="data row0 col0" >20</td>
          <td id="T_a9c5e_row0_col1" class="data row0 col1" ><span>0.94 [0.92, 0.96]</span><sup>*</sup></td>
          <td id="T_a9c5e_row0_col2" class="data row0 col2" ><span>0.77 [0.73, 0.82]</span><sup>*</sup></td>
          <td id="T_a9c5e_row0_col3" class="data row0 col3" ><span>0.85 [0.81, 0.88]</span></td>
          <td id="T_a9c5e_row0_col4" class="data row0 col4" ><span>0.94 [0.93, 0.95]</span></td>
          <td id="T_a9c5e_row0_col5" class="data row0 col5" ><span>0.94 [0.93, 0.95]</span><sup>**</sup></td>
          <td id="T_a9c5e_row0_col6" class="data row0 col6" ><span>1684.35 [1352.20, 2016.50]</span></td>
          <td id="T_a9c5e_row0_col7" class="data row0 col7" ><span>2021.26 [1679.70, 2362.82]</span></td>
          <td id="T_a9c5e_row0_col8" class="data row0 col8" ><span>336.91 [-72.79, 746.62]</span></td>
          <td id="T_a9c5e_row0_col9" class="data row0 col9" ><span>336.91 [245.30, 428.53]</span></td>
          <td id="T_a9c5e_row0_col10" class="data row0 col10" ><span>22.78 [15.88, 29.67]</span><sup>*</sup></td>
          <td id="T_a9c5e_row0_col11" class="data row0 col11" ><span>0.88 [0.03, 0.97]</span></td>
        </tr>
        <tr>
          <th id="T_a9c5e_level1_row1" class="row_heading level1 row1" >MobGap (original peak)</th>
          <td id="T_a9c5e_row1_col0" class="data row1 col0" >20</td>
          <td id="T_a9c5e_row1_col1" class="data row1 col1" ><span>0.77 [0.71, 0.82]</span></td>
          <td id="T_a9c5e_row1_col2" class="data row1 col2" ><span>0.93 [0.92, 0.95]</span><sup>**</sup></td>
          <td id="T_a9c5e_row1_col3" class="data row1 col3" ><span>0.84 [0.80, 0.87]</span></td>
          <td id="T_a9c5e_row1_col4" class="data row1 col4" ><span>0.95 [0.95, 0.96]</span></td>
          <td id="T_a9c5e_row1_col5" class="data row1 col5" ><span>0.99 [0.99, 0.99]</span><sup>**</sup></td>
          <td id="T_a9c5e_row1_col6" class="data row1 col6" ><span>1684.35 [1352.20, 2016.50]</span></td>
          <td id="T_a9c5e_row1_col7" class="data row1 col7" ><span>1405.44 [1066.12, 1744.76]</span></td>
          <td id="T_a9c5e_row1_col8" class="data row1 col8" ><span>-278.91 [-630.01, 72.19]</span></td>
          <td id="T_a9c5e_row1_col9" class="data row1 col9" ><span>278.91 [200.40, 357.42]</span></td>
          <td id="T_a9c5e_row1_col10" class="data row1 col10" ><span>18.17 [12.75, 23.59]</span></td>
          <td id="T_a9c5e_row1_col11" class="data row1 col11" ><span>0.91 [0.10, 0.98]</span></td>
        </tr>
        <tr>
          <th id="T_a9c5e_level1_row2" class="row_heading level1 row2" >Original Implementation</th>
          <td id="T_a9c5e_row2_col0" class="data row2 col0" >20</td>
          <td id="T_a9c5e_row2_col1" class="data row2 col1" ><span>0.84 [0.77, 0.92]</span></td>
          <td id="T_a9c5e_row2_col2" class="data row2 col2" ><span>0.83 [0.80, 0.87]</span></td>
          <td id="T_a9c5e_row2_col3" class="data row2 col3" ><span>0.83 [0.77, 0.88]</span></td>
          <td id="T_a9c5e_row2_col4" class="data row2 col4" ><span>0.95 [0.94, 0.96]</span></td>
          <td id="T_a9c5e_row2_col5" class="data row2 col5" ><span>0.97 [0.96, 0.97]</span></td>
          <td id="T_a9c5e_row2_col6" class="data row2 col6" ><span>1684.35 [1352.20, 2016.50]</span></td>
          <td id="T_a9c5e_row2_col7" class="data row2 col7" ><span>1709.24 [1341.94, 2076.54]</span></td>
          <td id="T_a9c5e_row2_col8" class="data row2 col8" ><span>24.89 [-579.36, 629.15]</span></td>
          <td id="T_a9c5e_row2_col9" class="data row2 col9" ><span>174.99 [64.57, 285.40]</span></td>
          <td id="T_a9c5e_row2_col10" class="data row2 col10" ><span>12.13 [4.64, 19.63]</span></td>
          <td id="T_a9c5e_row2_col11" class="data row2 col11" ><span>0.93 [0.83, 0.97]</span></td>
        </tr>
        <tr>
          <th id="T_a9c5e_level0_row3" class="row_heading level0 row3" rowspan="3">COPD</th>
          <th id="T_a9c5e_level1_row3" class="row_heading level1 row3" >MobGap</th>
          <td id="T_a9c5e_row3_col0" class="data row3 col0" >17</td>
          <td id="T_a9c5e_row3_col1" class="data row3 col1" ><span>0.87 [0.79, 0.95]</span></td>
          <td id="T_a9c5e_row3_col2" class="data row3 col2" ><span>0.69 [0.63, 0.75]</span></td>
          <td id="T_a9c5e_row3_col3" class="data row3 col3" ><span>0.76 [0.69, 0.82]</span></td>
          <td id="T_a9c5e_row3_col4" class="data row3 col4" ><span>0.93 [0.91, 0.96]</span></td>
          <td id="T_a9c5e_row3_col5" class="data row3 col5" ><span>0.95 [0.93, 0.97]</span></td>
          <td id="T_a9c5e_row3_col6" class="data row3 col6" ><span>1124.95 [889.96, 1359.93]</span></td>
          <td id="T_a9c5e_row3_col7" class="data row3 col7" ><span>1353.32 [1147.54, 1559.10]</span></td>
          <td id="T_a9c5e_row3_col8" class="data row3 col8" ><span>228.37 [-821.39, 1278.13]</span></td>
          <td id="T_a9c5e_row3_col9" class="data row3 col9" ><span>413.10 [222.39, 603.82]</span></td>
          <td id="T_a9c5e_row3_col10" class="data row3 col10" ><span>37.82 [21.48, 54.16]</span></td>
          <td id="T_a9c5e_row3_col11" class="data row3 col11" ><span>0.31 [-0.13, 0.67]</span></td>
        </tr>
        <tr>
          <th id="T_a9c5e_level1_row4" class="row_heading level1 row4" >MobGap (original peak)</th>
          <td id="T_a9c5e_row4_col0" class="data row4 col0" >17</td>
          <td id="T_a9c5e_row4_col1" class="data row4 col1" ><span>0.63 [0.56, 0.71]</span><sup>**</sup></td>
          <td id="T_a9c5e_row4_col2" class="data row4 col2" ><span>0.88 [0.81, 0.95]</span><sup>*</sup></td>
          <td id="T_a9c5e_row4_col3" class="data row4 col3" ><span>0.72 [0.64, 0.79]</span></td>
          <td id="T_a9c5e_row4_col4" class="data row4 col4" ><span>0.94 [0.92, 0.97]</span></td>
          <td id="T_a9c5e_row4_col5" class="data row4 col5" ><span>0.99 [0.97, 1.00]</span><sup>*</sup></td>
          <td id="T_a9c5e_row4_col6" class="data row4 col6" ><span>1124.95 [889.96, 1359.93]</span></td>
          <td id="T_a9c5e_row4_col7" class="data row4 col7" ><span>790.23 [631.57, 948.88]</span></td>
          <td id="T_a9c5e_row4_col8" class="data row4 col8" ><span>-334.72 [-1397.73, 728.29]</span></td>
          <td id="T_a9c5e_row4_col9" class="data row4 col9" ><span>419.70 [193.70, 645.71]</span></td>
          <td id="T_a9c5e_row4_col10" class="data row4 col10" ><span>34.04 [23.32, 44.76]</span></td>
          <td id="T_a9c5e_row4_col11" class="data row4 col11" ><span>0.14 [-0.22, 0.52]</span></td>
        </tr>
        <tr>
          <th id="T_a9c5e_level1_row5" class="row_heading level1 row5" >Original Implementation</th>
          <td id="T_a9c5e_row5_col0" class="data row5 col0" >17</td>
          <td id="T_a9c5e_row5_col1" class="data row5 col1" ><span>0.80 [0.73, 0.88]</span></td>
          <td id="T_a9c5e_row5_col2" class="data row5 col2" ><span>0.75 [0.69, 0.82]</span></td>
          <td id="T_a9c5e_row5_col3" class="data row5 col3" ><span>0.76 [0.69, 0.83]</span></td>
          <td id="T_a9c5e_row5_col4" class="data row5 col4" ><span>0.94 [0.92, 0.97]</span></td>
          <td id="T_a9c5e_row5_col5" class="data row5 col5" ><span>0.96 [0.95, 0.98]</span></td>
          <td id="T_a9c5e_row5_col6" class="data row5 col6" ><span>1124.95 [889.96, 1359.93]</span></td>
          <td id="T_a9c5e_row5_col7" class="data row5 col7" ><span>1152.40 [971.15, 1333.64]</span></td>
          <td id="T_a9c5e_row5_col8" class="data row5 col8" ><span>27.45 [-991.47, 1046.37]</span></td>
          <td id="T_a9c5e_row5_col9" class="data row5 col9" ><span>264.08 [53.11, 475.05]</span></td>
          <td id="T_a9c5e_row5_col10" class="data row5 col10" ><span>22.47 [6.94, 38.00]</span></td>
          <td id="T_a9c5e_row5_col11" class="data row5 col11" ><span>0.32 [-0.20, 0.69]</span></td>
        </tr>
        <tr>
          <th id="T_a9c5e_level0_row6" class="row_heading level0 row6" rowspan="3">CHF</th>
          <th id="T_a9c5e_level1_row6" class="row_heading level1 row6" >MobGap</th>
          <td id="T_a9c5e_row6_col0" class="data row6 col0" >10</td>
          <td id="T_a9c5e_row6_col1" class="data row6 col1" ><span>0.95 [0.93, 0.98]</span></td>
          <td id="T_a9c5e_row6_col2" class="data row6 col2" ><span>0.76 [0.67, 0.85]</span></td>
          <td id="T_a9c5e_row6_col3" class="data row6 col3" ><span>0.84 [0.77, 0.90]</span></td>
          <td id="T_a9c5e_row6_col4" class="data row6 col4" ><span>0.96 [0.94, 0.97]</span></td>
          <td id="T_a9c5e_row6_col5" class="data row6 col5" ><span>0.95 [0.92, 0.98]</span></td>
          <td id="T_a9c5e_row6_col6" class="data row6 col6" ><span>1552.02 [579.11, 2524.93]</span></td>
          <td id="T_a9c5e_row6_col7" class="data row6 col7" ><span>1874.87 [849.58, 2900.16]</span></td>
          <td id="T_a9c5e_row6_col8" class="data row6 col8" ><span>322.85 [-192.66, 838.36]</span></td>
          <td id="T_a9c5e_row6_col9" class="data row6 col9" ><span>322.85 [159.83, 485.87]</span></td>
          <td id="T_a9c5e_row6_col10" class="data row6 col10" ><span>31.12 [12.65, 49.59]</span></td>
          <td id="T_a9c5e_row6_col11" class="data row6 col11" ><span>0.97 [0.55, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_a9c5e_level1_row7" class="row_heading level1 row7" >MobGap (original peak)</th>
          <td id="T_a9c5e_row7_col0" class="data row7 col0" >10</td>
          <td id="T_a9c5e_row7_col1" class="data row7 col1" ><span>0.80 [0.74, 0.85]</span></td>
          <td id="T_a9c5e_row7_col2" class="data row7 col2" ><span>0.93 [0.89, 0.96]</span><sup>*</sup></td>
          <td id="T_a9c5e_row7_col3" class="data row7 col3" ><span>0.86 [0.81, 0.90]</span></td>
          <td id="T_a9c5e_row7_col4" class="data row7 col4" ><span>0.97 [0.96, 0.98]</span></td>
          <td id="T_a9c5e_row7_col5" class="data row7 col5" ><span>0.99 [0.98, 1.00]</span></td>
          <td id="T_a9c5e_row7_col6" class="data row7 col6" ><span>1552.02 [579.11, 2524.93]</span></td>
          <td id="T_a9c5e_row7_col7" class="data row7 col7" ><span>1413.81 [431.42, 2396.20]</span></td>
          <td id="T_a9c5e_row7_col8" class="data row7 col8" ><span>-138.21 [-275.80, -0.62]</span></td>
          <td id="T_a9c5e_row7_col9" class="data row7 col9" ><span>138.21 [94.70, 181.72]</span></td>
          <td id="T_a9c5e_row7_col10" class="data row7 col10" ><span>14.04 [9.83, 18.26]</span></td>
          <td id="T_a9c5e_row7_col11" class="data row7 col11" ><span>1.00 [0.65, 1.00]</span></td>
        </tr>
        <tr>
          <th id="T_a9c5e_level1_row8" class="row_heading level1 row8" >Original Implementation</th>
          <td id="T_a9c5e_row8_col0" class="data row8 col0" >10</td>
          <td id="T_a9c5e_row8_col1" class="data row8 col1" ><span>0.84 [0.70, 0.98]</span></td>
          <td id="T_a9c5e_row8_col2" class="data row8 col2" ><span>0.81 [0.74, 0.89]</span></td>
          <td id="T_a9c5e_row8_col3" class="data row8 col3" ><span>0.81 [0.69, 0.93]</span></td>
          <td id="T_a9c5e_row8_col4" class="data row8 col4" ><span>0.96 [0.94, 0.98]</span></td>
          <td id="T_a9c5e_row8_col5" class="data row8 col5" ><span>0.97 [0.94, 0.99]</span></td>
          <td id="T_a9c5e_row8_col6" class="data row8 col6" ><span>1552.02 [579.11, 2524.93]</span></td>
          <td id="T_a9c5e_row8_col7" class="data row8 col7" ><span>1595.96 [555.96, 2635.96]</span></td>
          <td id="T_a9c5e_row8_col8" class="data row8 col8" ><span>43.94 [-693.30, 781.18]</span></td>
          <td id="T_a9c5e_row8_col9" class="data row8 col9" ><span>239.58 [64.44, 414.73]</span></td>
          <td id="T_a9c5e_row8_col10" class="data row8 col10" ><span>20.25 [5.65, 34.86]</span></td>
          <td id="T_a9c5e_row8_col11" class="data row8 col11" ><span>0.98 [0.91, 0.99]</span></td>
        </tr>
      </tbody>
    </table>

    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 446-476

.. code-block:: Python

    high_impairment_algo = "GsdIonescu"
    high_impairment_cohorts = list(MobilisedPipelineImpaired().recommended_cohorts)

    high_impairment_results = results_long[
        results_long["cohort"].isin(high_impairment_cohorts)
    ].query("algo == @high_impairment_algo")

    hue_order = ["Original Implementation", "MobGap"]

    fig, ax = plt.subplots()
    sns.boxplot(
        data=high_impairment_results,
        x="cohort",
        y="f1_score",
        hue="version",
        hue_order=hue_order,
        ax=ax,
    )
    sns.boxplot(
        data=high_impairment_results,
        x="_combined",
        y="f1_score",
        hue="version",
        hue_order=hue_order,
        legend=False,
        ax=ax,
    )
    fig.suptitle(f"High Impairment Cohorts ({high_impairment_algo})")
    fig.show()




.. image-sg:: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_004.png
   :alt: High Impairment Cohorts (GsdIonescu)
   :srcset: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_004.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 477-485

.. code-block:: Python

    perf_metrics_per_cohort.copy().loc[
        pd.IndexSlice[high_impairment_cohorts, high_impairment_algo], :
    ].reset_index("algo", drop=True).style.pipe(
        revalidation_table_styles,
        validation_thresholds,
        ["cohort"],
    )






.. raw:: html

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    <style type="text/css">
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    }
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      background-color: lightcoral;
    }
    #T_bb64d_row1_col0, #T_bb64d_row1_col6, #T_bb64d_row1_col7, #T_bb64d_row1_col8, #T_bb64d_row3_col0, #T_bb64d_row3_col6, #T_bb64d_row3_col7, #T_bb64d_row3_col8, #T_bb64d_row5_col0, #T_bb64d_row5_col6, #T_bb64d_row5_col7, #T_bb64d_row5_col8 {
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      border-bottom: 2px solid black;
    }
    #T_bb64d_row1_col2, #T_bb64d_row1_col5, #T_bb64d_row1_col10, #T_bb64d_row1_col11, #T_bb64d_row3_col2, #T_bb64d_row3_col4, #T_bb64d_row3_col5, #T_bb64d_row3_col10, #T_bb64d_row3_col11, #T_bb64d_row5_col2, #T_bb64d_row5_col5 {
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      background-color: lightgreen;
      border-bottom: 2px solid black;
    }
    #T_bb64d_row1_col9, #T_bb64d_row3_col9, #T_bb64d_row5_col9 {
      font-weight: bold;
      border-bottom: 2px solid black;
    }
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      font-weight: bold;
      background-color: lightcoral;
    }
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      background-color: lightcoral;
      border-bottom: 2px solid black;
    }
    #T_bb64d_row5_col10 {
      font-weight: bold;
      background-color: lightcoral;
      border-bottom: 2px solid black;
    }
    </style>
    <table id="T_bb64d" class="dataframe">
      <thead>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank level0" >&nbsp;</th>
          <th id="T_bb64d_level0_col0" class="col_heading level0 col0" >General</th>
          <th id="T_bb64d_level0_col1" class="col_heading level0 col1" colspan="5">GSD</th>
          <th id="T_bb64d_level0_col6" class="col_heading level0 col6" colspan="6">GS duration</th>
        </tr>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank level1" >&nbsp;</th>
          <th id="T_bb64d_level1_col0" class="col_heading level1 col0" ># recordings</th>
          <th id="T_bb64d_level1_col1" class="col_heading level1 col1" >Recall</th>
          <th id="T_bb64d_level1_col2" class="col_heading level1 col2" >Precision</th>
          <th id="T_bb64d_level1_col3" class="col_heading level1 col3" >F1 Score</th>
          <th id="T_bb64d_level1_col4" class="col_heading level1 col4" >Accuracy</th>
          <th id="T_bb64d_level1_col5" class="col_heading level1 col5" >Specificity</th>
          <th id="T_bb64d_level1_col6" class="col_heading level1 col6" >INDIP mean and CI [s]</th>
          <th id="T_bb64d_level1_col7" class="col_heading level1 col7" >WD mean and CI [s]</th>
          <th id="T_bb64d_level1_col8" class="col_heading level1 col8" >Bias and LoA [s]</th>
          <th id="T_bb64d_level1_col9" class="col_heading level1 col9" >Abs. Error [s]</th>
          <th id="T_bb64d_level1_col10" class="col_heading level1 col10" >Abs. Rel. Error [%]</th>
          <th id="T_bb64d_level1_col11" class="col_heading level1 col11" >ICC</th>
        </tr>
        <tr>
          <th class="index_name level0" >cohort</th>
          <th class="index_name level1" >version</th>
          <th class="blank col0" >&nbsp;</th>
          <th class="blank col1" >&nbsp;</th>
          <th class="blank col2" >&nbsp;</th>
          <th class="blank col3" >&nbsp;</th>
          <th class="blank col4" >&nbsp;</th>
          <th class="blank col5" >&nbsp;</th>
          <th class="blank col6" >&nbsp;</th>
          <th class="blank col7" >&nbsp;</th>
          <th class="blank col8" >&nbsp;</th>
          <th class="blank col9" >&nbsp;</th>
          <th class="blank col10" >&nbsp;</th>
          <th class="blank col11" >&nbsp;</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th id="T_bb64d_level0_row0" class="row_heading level0 row0" rowspan="2">PD</th>
          <th id="T_bb64d_level1_row0" class="row_heading level1 row0" >MobGap</th>
          <td id="T_bb64d_row0_col0" class="data row0 col0" >19</td>
          <td id="T_bb64d_row0_col1" class="data row0 col1" ><span>0.86 [0.79, 0.93]</span></td>
          <td id="T_bb64d_row0_col2" class="data row0 col2" ><span>0.85 [0.77, 0.92]</span></td>
          <td id="T_bb64d_row0_col3" class="data row0 col3" ><span>0.84 [0.78, 0.91]</span></td>
          <td id="T_bb64d_row0_col4" class="data row0 col4" ><span>0.97 [0.96, 0.98]</span></td>
          <td id="T_bb64d_row0_col5" class="data row0 col5" ><span>0.98 [0.97, 0.99]</span></td>
          <td id="T_bb64d_row0_col6" class="data row0 col6" ><span>1157.40 [701.98, 1612.83]</span></td>
          <td id="T_bb64d_row0_col7" class="data row0 col7" ><span>1181.56 [689.78, 1673.34]</span></td>
          <td id="T_bb64d_row0_col8" class="data row0 col8" ><span>24.16 [-341.15, 389.47]</span></td>
          <td id="T_bb64d_row0_col9" class="data row0 col9" ><span>139.33 [84.52, 194.15]</span></td>
          <td id="T_bb64d_row0_col10" class="data row0 col10" ><span>20.05 [10.65, 29.46]</span></td>
          <td id="T_bb64d_row0_col11" class="data row0 col11" ><span>0.98 [0.96, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_bb64d_level1_row1" class="row_heading level1 row1" >Original Implementation</th>
          <td id="T_bb64d_row1_col0" class="data row1 col0" >19</td>
          <td id="T_bb64d_row1_col1" class="data row1 col1" ><span>0.84 [0.76, 0.91]</span></td>
          <td id="T_bb64d_row1_col2" class="data row1 col2" ><span>0.86 [0.79, 0.94]</span></td>
          <td id="T_bb64d_row1_col3" class="data row1 col3" ><span>0.84 [0.77, 0.90]</span></td>
          <td id="T_bb64d_row1_col4" class="data row1 col4" ><span>0.97 [0.96, 0.98]</span></td>
          <td id="T_bb64d_row1_col5" class="data row1 col5" ><span>0.98 [0.97, 0.99]</span></td>
          <td id="T_bb64d_row1_col6" class="data row1 col6" ><span>1157.40 [701.98, 1612.83]</span></td>
          <td id="T_bb64d_row1_col7" class="data row1 col7" ><span>1146.39 [664.16, 1628.61]</span></td>
          <td id="T_bb64d_row1_col8" class="data row1 col8" ><span>-11.02 [-359.25, 337.21]</span></td>
          <td id="T_bb64d_row1_col9" class="data row1 col9" ><span>136.08 [86.51, 185.64]</span></td>
          <td id="T_bb64d_row1_col10" class="data row1 col10" ><span>19.84 [10.58, 29.11]</span></td>
          <td id="T_bb64d_row1_col11" class="data row1 col11" ><span>0.99 [0.96, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_bb64d_level0_row2" class="row_heading level0 row2" rowspan="2">MS</th>
          <th id="T_bb64d_level1_row2" class="row_heading level1 row2" >MobGap</th>
          <td id="T_bb64d_row2_col0" class="data row2 col0" >18</td>
          <td id="T_bb64d_row2_col1" class="data row2 col1" ><span>0.93 [0.89, 0.96]</span></td>
          <td id="T_bb64d_row2_col2" class="data row2 col2" ><span>0.79 [0.74, 0.84]</span></td>
          <td id="T_bb64d_row2_col3" class="data row2 col3" ><span>0.85 [0.81, 0.89]</span></td>
          <td id="T_bb64d_row2_col4" class="data row2 col4" ><span>0.96 [0.95, 0.97]</span></td>
          <td id="T_bb64d_row2_col5" class="data row2 col5" ><span>0.96 [0.95, 0.98]</span></td>
          <td id="T_bb64d_row2_col6" class="data row2 col6" ><span>1251.49 [877.21, 1625.78]</span></td>
          <td id="T_bb64d_row2_col7" class="data row2 col7" ><span>1463.24 [1011.32, 1915.16]</span></td>
          <td id="T_bb64d_row2_col8" class="data row2 col8" ><span>211.75 [-273.11, 696.61]</span></td>
          <td id="T_bb64d_row2_col9" class="data row2 col9" ><span>232.25 [127.35, 337.15]</span></td>
          <td id="T_bb64d_row2_col10" class="data row2 col10" ><span>20.34 [13.21, 27.46]</span></td>
          <td id="T_bb64d_row2_col11" class="data row2 col11" ><span>0.94 [0.68, 0.98]</span></td>
        </tr>
        <tr>
          <th id="T_bb64d_level1_row3" class="row_heading level1 row3" >Original Implementation</th>
          <td id="T_bb64d_row3_col0" class="data row3 col0" >18</td>
          <td id="T_bb64d_row3_col1" class="data row3 col1" ><span>0.91 [0.87, 0.95]</span></td>
          <td id="T_bb64d_row3_col2" class="data row3 col2" ><span>0.80 [0.75, 0.85]</span></td>
          <td id="T_bb64d_row3_col3" class="data row3 col3" ><span>0.85 [0.81, 0.89]</span></td>
          <td id="T_bb64d_row3_col4" class="data row3 col4" ><span>0.96 [0.96, 0.97]</span></td>
          <td id="T_bb64d_row3_col5" class="data row3 col5" ><span>0.97 [0.96, 0.98]</span></td>
          <td id="T_bb64d_row3_col6" class="data row3 col6" ><span>1251.49 [877.21, 1625.78]</span></td>
          <td id="T_bb64d_row3_col7" class="data row3 col7" ><span>1417.05 [981.70, 1852.40]</span></td>
          <td id="T_bb64d_row3_col8" class="data row3 col8" ><span>165.55 [-262.59, 593.69]</span></td>
          <td id="T_bb64d_row3_col9" class="data row3 col9" ><span>193.15 [104.00, 282.29]</span></td>
          <td id="T_bb64d_row3_col10" class="data row3 col10" ><span>17.22 [10.54, 23.91]</span></td>
          <td id="T_bb64d_row3_col11" class="data row3 col11" ><span>0.95 [0.79, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_bb64d_level0_row4" class="row_heading level0 row4" rowspan="2">PFF</th>
          <th id="T_bb64d_level1_row4" class="row_heading level1 row4" >MobGap</th>
          <td id="T_bb64d_row4_col0" class="data row4 col0" >17</td>
          <td id="T_bb64d_row4_col1" class="data row4 col1" ><span>0.70 [0.56, 0.84]</span></td>
          <td id="T_bb64d_row4_col2" class="data row4 col2" ><span>0.79 [0.68, 0.91]</span></td>
          <td id="T_bb64d_row4_col3" class="data row4 col3" ><span>0.72 [0.59, 0.85]</span></td>
          <td id="T_bb64d_row4_col4" class="data row4 col4" ><span>0.97 [0.96, 0.98]</span></td>
          <td id="T_bb64d_row4_col5" class="data row4 col5" ><span>0.98 [0.98, 0.99]</span></td>
          <td id="T_bb64d_row4_col6" class="data row4 col6" ><span>873.05 [560.20, 1185.89]</span></td>
          <td id="T_bb64d_row4_col7" class="data row4 col7" ><span>846.95 [539.60, 1154.30]</span></td>
          <td id="T_bb64d_row4_col8" class="data row4 col8" ><span>-26.09 [-367.42, 315.23]</span></td>
          <td id="T_bb64d_row4_col9" class="data row4 col9" ><span>130.15 [75.84, 184.46]</span></td>
          <td id="T_bb64d_row4_col10" class="data row4 col10" ><span>24.57 [10.94, 38.19]</span></td>
          <td id="T_bb64d_row4_col11" class="data row4 col11" ><span>0.97 [0.91, 0.99]</span></td>
        </tr>
        <tr>
          <th id="T_bb64d_level1_row5" class="row_heading level1 row5" >Original Implementation</th>
          <td id="T_bb64d_row5_col0" class="data row5 col0" >17</td>
          <td id="T_bb64d_row5_col1" class="data row5 col1" ><span>0.68 [0.54, 0.82]</span></td>
          <td id="T_bb64d_row5_col2" class="data row5 col2" ><span>0.80 [0.69, 0.92]</span></td>
          <td id="T_bb64d_row5_col3" class="data row5 col3" ><span>0.71 [0.58, 0.84]</span></td>
          <td id="T_bb64d_row5_col4" class="data row5 col4" ><span>0.97 [0.96, 0.98]</span></td>
          <td id="T_bb64d_row5_col5" class="data row5 col5" ><span>0.99 [0.98, 0.99]</span></td>
          <td id="T_bb64d_row5_col6" class="data row5 col6" ><span>873.05 [560.20, 1185.89]</span></td>
          <td id="T_bb64d_row5_col7" class="data row5 col7" ><span>810.96 [518.48, 1103.43]</span></td>
          <td id="T_bb64d_row5_col8" class="data row5 col8" ><span>-62.09 [-408.99, 284.81]</span></td>
          <td id="T_bb64d_row5_col9" class="data row5 col9" ><span>126.58 [62.10, 191.05]</span></td>
          <td id="T_bb64d_row5_col10" class="data row5 col10" ><span>24.31 [10.75, 37.86]</span></td>
          <td id="T_bb64d_row5_col11" class="data row5 col11" ><span>0.96 [0.89, 0.98]</span></td>
        </tr>
      </tbody>
    </table>

    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 486-497

Laboratory Comparison
---------------------
Every datapoint below is one trial of a test.
Note, that each datapoint is weighted equally in the calculation of the performance metrics.
This is a limitation of this simple approach, as the number of strides per trial and the complexity of the context
can vary significantly.
For a full picture, different groups of tests should be analyzed separately.
The approach below should still provide a good overview to compare the algorithms.

All results across all cohorts
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

.. GENERATED FROM PYTHON SOURCE LINES 497-510

.. code-block:: Python

    hue_order = ["Original Implementation", "MobGap", "MobGap (original peak)"]

    fig, ax = plt.subplots()
    sns.boxplot(
        data=lab_results_long,
        x="algo",
        y="f1_score",
        hue="version",
        hue_order=hue_order,
        ax=ax,
    )
    fig.show()




.. image-sg:: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_005.png
   :alt:  01 gsd analysis
   :srcset: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_005.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 511-530

.. code-block:: Python

    perf_metrics_all = lab_results_long.pipe(
        multilevel_groupby_apply_merge,
        [
            (
                ["cohort", "algo", "version"],
                partial(apply_aggregations, aggregations=custom_aggs),
            ),
            (
                ["cohort", "algo"],
                partial(apply_transformations, transformations=stats_transform),
            ),
        ],
    ).pipe(format_results)
    perf_metrics_all.style.pipe(
        revalidation_table_styles,
        validation_thresholds,
        ["algo"],
    )






.. raw:: html

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    <table id="T_d300f" class="dataframe">
      <thead>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank" >&nbsp;</th>
          <th class="blank level0" >&nbsp;</th>
          <th id="T_d300f_level0_col0" class="col_heading level0 col0" >General</th>
          <th id="T_d300f_level0_col1" class="col_heading level0 col1" colspan="5">GSD</th>
          <th id="T_d300f_level0_col6" class="col_heading level0 col6" colspan="6">GS duration</th>
        </tr>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank" >&nbsp;</th>
          <th class="blank level1" >&nbsp;</th>
          <th id="T_d300f_level1_col0" class="col_heading level1 col0" ># recordings</th>
          <th id="T_d300f_level1_col1" class="col_heading level1 col1" >Recall</th>
          <th id="T_d300f_level1_col2" class="col_heading level1 col2" >Precision</th>
          <th id="T_d300f_level1_col3" class="col_heading level1 col3" >F1 Score</th>
          <th id="T_d300f_level1_col4" class="col_heading level1 col4" >Accuracy</th>
          <th id="T_d300f_level1_col5" class="col_heading level1 col5" >Specificity</th>
          <th id="T_d300f_level1_col6" class="col_heading level1 col6" >INDIP mean and CI [s]</th>
          <th id="T_d300f_level1_col7" class="col_heading level1 col7" >WD mean and CI [s]</th>
          <th id="T_d300f_level1_col8" class="col_heading level1 col8" >Bias and LoA [s]</th>
          <th id="T_d300f_level1_col9" class="col_heading level1 col9" >Abs. Error [s]</th>
          <th id="T_d300f_level1_col10" class="col_heading level1 col10" >Abs. Rel. Error [%]</th>
          <th id="T_d300f_level1_col11" class="col_heading level1 col11" >ICC</th>
        </tr>
        <tr>
          <th class="index_name level0" >cohort</th>
          <th class="index_name level1" >algo</th>
          <th class="index_name level2" >version</th>
          <th class="blank col0" >&nbsp;</th>
          <th class="blank col1" >&nbsp;</th>
          <th class="blank col2" >&nbsp;</th>
          <th class="blank col3" >&nbsp;</th>
          <th class="blank col4" >&nbsp;</th>
          <th class="blank col5" >&nbsp;</th>
          <th class="blank col6" >&nbsp;</th>
          <th class="blank col7" >&nbsp;</th>
          <th class="blank col8" >&nbsp;</th>
          <th class="blank col9" >&nbsp;</th>
          <th class="blank col10" >&nbsp;</th>
          <th class="blank col11" >&nbsp;</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th id="T_d300f_level0_row0" class="row_heading level0 row0" rowspan="7">CHF</th>
          <th id="T_d300f_level1_row0" class="row_heading level1 row0" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_d300f_level2_row0" class="row_heading level2 row0" >MobGap</th>
          <td id="T_d300f_row0_col0" class="data row0 col0" >106</td>
          <td id="T_d300f_row0_col1" class="data row0 col1" ><span>0.82 [0.76, 0.88]</span></td>
          <td id="T_d300f_row0_col2" class="data row0 col2" ><span>0.73 [0.67, 0.79]</span></td>
          <td id="T_d300f_row0_col3" class="data row0 col3" ><span>0.76 [0.71, 0.82]</span></td>
          <td id="T_d300f_row0_col4" class="data row0 col4" ><span>0.84 [0.82, 0.87]</span></td>
          <td id="T_d300f_row0_col5" class="data row0 col5" ><span>0.83 [0.80, 0.86]</span></td>
          <td id="T_d300f_row0_col6" class="data row0 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_d300f_row0_col7" class="data row0 col7" ><span>12.88 [10.10, 15.66]</span></td>
          <td id="T_d300f_row0_col8" class="data row0 col8" ><span>1.20 [-8.87, 11.27]</span></td>
          <td id="T_d300f_row0_col9" class="data row0 col9" ><span>2.88 [2.04, 3.72]</span></td>
          <td id="T_d300f_row0_col10" class="data row0 col10" ><span>26.68 [21.64, 31.73]</span></td>
          <td id="T_d300f_row0_col11" class="data row0 col11" ><span>0.93 [0.89, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row1" class="row_heading level2 row1" >Original Implementation</th>
          <td id="T_d300f_row1_col0" class="data row1 col0" >106</td>
          <td id="T_d300f_row1_col1" class="data row1 col1" ><span>0.78 [0.71, 0.84]</span></td>
          <td id="T_d300f_row1_col2" class="data row1 col2" ><span>0.71 [0.65, 0.77]</span></td>
          <td id="T_d300f_row1_col3" class="data row1 col3" ><span>0.73 [0.67, 0.79]</span></td>
          <td id="T_d300f_row1_col4" class="data row1 col4" ><span>0.85 [0.83, 0.88]</span></td>
          <td id="T_d300f_row1_col5" class="data row1 col5" ><span>0.85 [0.82, 0.88]</span></td>
          <td id="T_d300f_row1_col6" class="data row1 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_d300f_row1_col7" class="data row1 col7" ><span>11.74 [9.20, 14.28]</span></td>
          <td id="T_d300f_row1_col8" class="data row1 col8" ><span>0.06 [-11.59, 11.70]</span></td>
          <td id="T_d300f_row1_col9" class="data row1 col9" ><span>3.21 [2.26, 4.16]</span></td>
          <td id="T_d300f_row1_col10" class="data row1 col10" ><span>30.60 [25.05, 36.14]</span></td>
          <td id="T_d300f_row1_col11" class="data row1 col11" ><span>0.90 [0.86, 0.93]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level1_row2" class="row_heading level1 row2" rowspan="3">GsdIluz</th>
          <th id="T_d300f_level2_row2" class="row_heading level2 row2" >MobGap</th>
          <td id="T_d300f_row2_col0" class="data row2 col0" >106</td>
          <td id="T_d300f_row2_col1" class="data row2 col1" ><span>0.90 [0.85, 0.95]</span><sup>**</sup></td>
          <td id="T_d300f_row2_col2" class="data row2 col2" ><span>0.61 [0.57, 0.66]</span></td>
          <td id="T_d300f_row2_col3" class="data row2 col3" ><span>0.72 [0.67, 0.76]</span></td>
          <td id="T_d300f_row2_col4" class="data row2 col4" ><span>0.72 [0.68, 0.76]</span><sup>**</sup></td>
          <td id="T_d300f_row2_col5" class="data row2 col5" ><span>0.53 [0.48, 0.57]</span><sup>**</sup></td>
          <td id="T_d300f_row2_col6" class="data row2 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_d300f_row2_col7" class="data row2 col7" ><span>16.02 [13.29, 18.75]</span></td>
          <td id="T_d300f_row2_col8" class="data row2 col8" ><span>4.33 [-4.51, 13.18]</span></td>
          <td id="T_d300f_row2_col9" class="data row2 col9" ><span>4.61 [3.81, 5.42]</span></td>
          <td id="T_d300f_row2_col10" class="data row2 col10" ><span>58.82 [49.28, 68.37]</span></td>
          <td id="T_d300f_row2_col11" class="data row2 col11" ><span>0.90 [0.52, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row3" class="row_heading level2 row3" >MobGap (original peak)</th>
          <td id="T_d300f_row3_col0" class="data row3 col0" >106</td>
          <td id="T_d300f_row3_col1" class="data row3 col1" ><span>0.78 [0.71, 0.86]</span></td>
          <td id="T_d300f_row3_col2" class="data row3 col2" ><span>0.62 [0.56, 0.68]</span></td>
          <td id="T_d300f_row3_col3" class="data row3 col3" ><span>0.67 [0.61, 0.73]</span></td>
          <td id="T_d300f_row3_col4" class="data row3 col4" ><span>0.77 [0.73, 0.80]</span></td>
          <td id="T_d300f_row3_col5" class="data row3 col5" ><span>0.70 [0.65, 0.74]</span></td>
          <td id="T_d300f_row3_col6" class="data row3 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_d300f_row3_col7" class="data row3 col7" ><span>11.24 [9.59, 12.89]</span></td>
          <td id="T_d300f_row3_col8" class="data row3 col8" ><span>-0.44 [-18.32, 17.45]</span></td>
          <td id="T_d300f_row3_col9" class="data row3 col9" ><span>4.93 [3.46, 6.39]</span></td>
          <td id="T_d300f_row3_col10" class="data row3 col10" ><span>49.91 [41.96, 57.86]</span></td>
          <td id="T_d300f_row3_col11" class="data row3 col11" ><span>0.66 [0.54, 0.76]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row4" class="row_heading level2 row4" >Original Implementation</th>
          <td id="T_d300f_row4_col0" class="data row4 col0" >106</td>
          <td id="T_d300f_row4_col1" class="data row4 col1" ><span>0.76 [0.69, 0.84]</span></td>
          <td id="T_d300f_row4_col2" class="data row4 col2" ><span>0.60 [0.53, 0.66]</span></td>
          <td id="T_d300f_row4_col3" class="data row4 col3" ><span>0.66 [0.59, 0.72]</span></td>
          <td id="T_d300f_row4_col4" class="data row4 col4" ><span>0.79 [0.76, 0.82]</span></td>
          <td id="T_d300f_row4_col5" class="data row4 col5" ><span>0.71 [0.67, 0.75]</span></td>
          <td id="T_d300f_row4_col6" class="data row4 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_d300f_row4_col7" class="data row4 col7" ><span>12.97 [10.41, 15.53]</span></td>
          <td id="T_d300f_row4_col8" class="data row4 col8" ><span>1.29 [-7.91, 10.49]</span></td>
          <td id="T_d300f_row4_col9" class="data row4 col9" ><span>3.40 [2.74, 4.06]</span></td>
          <td id="T_d300f_row4_col10" class="data row4 col10" ><span>46.68 [39.14, 54.21]</span></td>
          <td id="T_d300f_row4_col11" class="data row4 col11" ><span>0.93 [0.90, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level1_row5" class="row_heading level1 row5" rowspan="2">GsdIonescu</th>
          <th id="T_d300f_level2_row5" class="row_heading level2 row5" >MobGap</th>
          <td id="T_d300f_row5_col0" class="data row5 col0" >106</td>
          <td id="T_d300f_row5_col1" class="data row5 col1" ><span>0.90 [0.84, 0.95]</span></td>
          <td id="T_d300f_row5_col2" class="data row5 col2" ><span>0.69 [0.64, 0.73]</span></td>
          <td id="T_d300f_row5_col3" class="data row5 col3" ><span>0.77 [0.72, 0.82]</span></td>
          <td id="T_d300f_row5_col4" class="data row5 col4" ><span>0.82 [0.80, 0.84]</span></td>
          <td id="T_d300f_row5_col5" class="data row5 col5" ><span>0.70 [0.67, 0.73]</span></td>
          <td id="T_d300f_row5_col6" class="data row5 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_d300f_row5_col7" class="data row5 col7" ><span>14.34 [11.74, 16.94]</span></td>
          <td id="T_d300f_row5_col8" class="data row5 col8" ><span>2.65 [-3.01, 8.32]</span></td>
          <td id="T_d300f_row5_col9" class="data row5 col9" ><span>3.00 [2.52, 3.48]</span></td>
          <td id="T_d300f_row5_col10" class="data row5 col10" ><span>35.76 [31.02, 40.51]</span></td>
          <td id="T_d300f_row5_col11" class="data row5 col11" ><span>0.96 [0.77, 0.98]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row6" class="row_heading level2 row6" >Original Implementation</th>
          <td id="T_d300f_row6_col0" class="data row6 col0" >106</td>
          <td id="T_d300f_row6_col1" class="data row6 col1" ><span>0.89 [0.84, 0.94]</span></td>
          <td id="T_d300f_row6_col2" class="data row6 col2" ><span>0.69 [0.64, 0.73]</span></td>
          <td id="T_d300f_row6_col3" class="data row6 col3" ><span>0.77 [0.72, 0.82]</span></td>
          <td id="T_d300f_row6_col4" class="data row6 col4" ><span>0.82 [0.80, 0.84]</span></td>
          <td id="T_d300f_row6_col5" class="data row6 col5" ><span>0.70 [0.67, 0.73]</span></td>
          <td id="T_d300f_row6_col6" class="data row6 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_d300f_row6_col7" class="data row6 col7" ><span>13.93 [11.57, 16.29]</span></td>
          <td id="T_d300f_row6_col8" class="data row6 col8" ><span>2.25 [-4.95, 9.44]</span></td>
          <td id="T_d300f_row6_col9" class="data row6 col9" ><span>3.11 [2.54, 3.67]</span></td>
          <td id="T_d300f_row6_col10" class="data row6 col10" ><span>35.79 [31.09, 40.50]</span></td>
          <td id="T_d300f_row6_col11" class="data row6 col11" ><span>0.94 [0.86, 0.97]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level0_row7" class="row_heading level0 row7" rowspan="7">COPD</th>
          <th id="T_d300f_level1_row7" class="row_heading level1 row7" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_d300f_level2_row7" class="row_heading level2 row7" >MobGap</th>
          <td id="T_d300f_row7_col0" class="data row7 col0" >214</td>
          <td id="T_d300f_row7_col1" class="data row7 col1" ><span>0.75 [0.70, 0.81]</span></td>
          <td id="T_d300f_row7_col2" class="data row7 col2" ><span>0.65 [0.60, 0.70]</span></td>
          <td id="T_d300f_row7_col3" class="data row7 col3" ><span>0.69 [0.64, 0.74]</span></td>
          <td id="T_d300f_row7_col4" class="data row7 col4" ><span>0.90 [0.88, 0.91]</span></td>
          <td id="T_d300f_row7_col5" class="data row7 col5" ><span>0.89 [0.88, 0.91]</span></td>
          <td id="T_d300f_row7_col6" class="data row7 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_d300f_row7_col7" class="data row7 col7" ><span>13.44 [11.34, 15.55]</span></td>
          <td id="T_d300f_row7_col8" class="data row7 col8" ><span>2.59 [-13.40, 18.57]</span></td>
          <td id="T_d300f_row7_col9" class="data row7 col9" ><span>3.39 [2.34, 4.44]</span></td>
          <td id="T_d300f_row7_col10" class="data row7 col10" ><span>33.24 [24.81, 41.66]</span></td>
          <td id="T_d300f_row7_col11" class="data row7 col11" ><span>0.81 [0.73, 0.86]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row8" class="row_heading level2 row8" >Original Implementation</th>
          <td id="T_d300f_row8_col0" class="data row8 col0" >214</td>
          <td id="T_d300f_row8_col1" class="data row8 col1" ><span>0.78 [0.73, 0.83]</span></td>
          <td id="T_d300f_row8_col2" class="data row8 col2" ><span>0.68 [0.63, 0.73]</span></td>
          <td id="T_d300f_row8_col3" class="data row8 col3" ><span>0.71 [0.67, 0.76]</span></td>
          <td id="T_d300f_row8_col4" class="data row8 col4" ><span>0.90 [0.88, 0.91]</span></td>
          <td id="T_d300f_row8_col5" class="data row8 col5" ><span>0.89 [0.88, 0.91]</span></td>
          <td id="T_d300f_row8_col6" class="data row8 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_d300f_row8_col7" class="data row8 col7" ><span>13.04 [11.12, 14.97]</span></td>
          <td id="T_d300f_row8_col8" class="data row8 col8" ><span>2.19 [-11.35, 15.73]</span></td>
          <td id="T_d300f_row8_col9" class="data row8 col9" ><span>3.02 [2.14, 3.90]</span></td>
          <td id="T_d300f_row8_col10" class="data row8 col10" ><span>28.96 [21.31, 36.62]</span></td>
          <td id="T_d300f_row8_col11" class="data row8 col11" ><span>0.84 [0.78, 0.89]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level1_row9" class="row_heading level1 row9" rowspan="3">GsdIluz</th>
          <th id="T_d300f_level2_row9" class="row_heading level2 row9" >MobGap</th>
          <td id="T_d300f_row9_col0" class="data row9 col0" >214</td>
          <td id="T_d300f_row9_col1" class="data row9 col1" ><span>0.79 [0.73, 0.84]</span><sup>**</sup></td>
          <td id="T_d300f_row9_col2" class="data row9 col2" ><span>0.54 [0.50, 0.58]</span></td>
          <td id="T_d300f_row9_col3" class="data row9 col3" ><span>0.63 [0.58, 0.67]</span></td>
          <td id="T_d300f_row9_col4" class="data row9 col4" ><span>0.78 [0.76, 0.80]</span><sup>**</sup></td>
          <td id="T_d300f_row9_col5" class="data row9 col5" ><span>0.69 [0.67, 0.71]</span><sup>**</sup></td>
          <td id="T_d300f_row9_col6" class="data row9 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_d300f_row9_col7" class="data row9 col7" ><span>14.89 [13.32, 16.45]</span></td>
          <td id="T_d300f_row9_col8" class="data row9 col8" ><span>4.03 [-4.30, 12.37]</span></td>
          <td id="T_d300f_row9_col9" class="data row9 col9" ><span>4.52 [4.02, 5.02]</span></td>
          <td id="T_d300f_row9_col10" class="data row9 col10" ><span>59.31 [52.47, 66.14]</span><sup>**</sup></td>
          <td id="T_d300f_row9_col11" class="data row9 col11" ><span>0.88 [0.47, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row10" class="row_heading level2 row10" >MobGap (original peak)</th>
          <td id="T_d300f_row10_col0" class="data row10 col0" >214</td>
          <td id="T_d300f_row10_col1" class="data row10 col1" ><span>0.66 [0.59, 0.72]</span></td>
          <td id="T_d300f_row10_col2" class="data row10 col2" ><span>0.55 [0.50, 0.60]</span></td>
          <td id="T_d300f_row10_col3" class="data row10 col3" ><span>0.58 [0.53, 0.63]</span></td>
          <td id="T_d300f_row10_col4" class="data row10 col4" ><span>0.86 [0.85, 0.88]</span></td>
          <td id="T_d300f_row10_col5" class="data row10 col5" ><span>0.85 [0.83, 0.87]</span></td>
          <td id="T_d300f_row10_col6" class="data row10 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_d300f_row10_col7" class="data row10 col7" ><span>10.47 [9.30, 11.63]</span></td>
          <td id="T_d300f_row10_col8" class="data row10 col8" ><span>-0.39 [-14.05, 13.28]</span></td>
          <td id="T_d300f_row10_col9" class="data row10 col9" ><span>3.78 [2.99, 4.56]</span></td>
          <td id="T_d300f_row10_col10" class="data row10 col10" ><span>45.54 [40.19, 50.89]</span></td>
          <td id="T_d300f_row10_col11" class="data row10 col11" ><span>0.76 [0.69, 0.81]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row11" class="row_heading level2 row11" >Original Implementation</th>
          <td id="T_d300f_row11_col0" class="data row11 col0" >214</td>
          <td id="T_d300f_row11_col1" class="data row11 col1" ><span>0.66 [0.60, 0.72]</span></td>
          <td id="T_d300f_row11_col2" class="data row11 col2" ><span>0.53 [0.48, 0.58]</span></td>
          <td id="T_d300f_row11_col3" class="data row11 col3" ><span>0.58 [0.53, 0.64]</span></td>
          <td id="T_d300f_row11_col4" class="data row11 col4" ><span>0.87 [0.86, 0.88]</span></td>
          <td id="T_d300f_row11_col5" class="data row11 col5" ><span>0.85 [0.83, 0.87]</span></td>
          <td id="T_d300f_row11_col6" class="data row11 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_d300f_row11_col7" class="data row11 col7" ><span>12.18 [10.58, 13.78]</span></td>
          <td id="T_d300f_row11_col8" class="data row11 col8" ><span>1.33 [-6.72, 9.38]</span></td>
          <td id="T_d300f_row11_col9" class="data row11 col9" ><span>2.78 [2.34, 3.22]</span></td>
          <td id="T_d300f_row11_col10" class="data row11 col10" ><span>42.60 [37.14, 48.05]</span></td>
          <td id="T_d300f_row11_col11" class="data row11 col11" ><span>0.93 [0.90, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level1_row12" class="row_heading level1 row12" rowspan="2">GsdIonescu</th>
          <th id="T_d300f_level2_row12" class="row_heading level2 row12" >MobGap</th>
          <td id="T_d300f_row12_col0" class="data row12 col0" >214</td>
          <td id="T_d300f_row12_col1" class="data row12 col1" ><span>0.83 [0.78, 0.87]</span></td>
          <td id="T_d300f_row12_col2" class="data row12 col2" ><span>0.62 [0.58, 0.66]</span></td>
          <td id="T_d300f_row12_col3" class="data row12 col3" ><span>0.70 [0.66, 0.75]</span></td>
          <td id="T_d300f_row12_col4" class="data row12 col4" ><span>0.85 [0.84, 0.87]</span></td>
          <td id="T_d300f_row12_col5" class="data row12 col5" ><span>0.79 [0.77, 0.80]</span></td>
          <td id="T_d300f_row12_col6" class="data row12 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_d300f_row12_col7" class="data row12 col7" ><span>14.20 [12.52, 15.88]</span></td>
          <td id="T_d300f_row12_col8" class="data row12 col8" ><span>3.34 [-4.85, 11.54]</span></td>
          <td id="T_d300f_row12_col9" class="data row12 col9" ><span>3.52 [2.98, 4.06]</span></td>
          <td id="T_d300f_row12_col10" class="data row12 col10" ><span>37.80 [33.73, 41.86]</span></td>
          <td id="T_d300f_row12_col11" class="data row12 col11" ><span>0.90 [0.66, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row13" class="row_heading level2 row13" >Original Implementation</th>
          <td id="T_d300f_row13_col0" class="data row13 col0" >214</td>
          <td id="T_d300f_row13_col1" class="data row13 col1" ><span>0.82 [0.77, 0.87]</span></td>
          <td id="T_d300f_row13_col2" class="data row13 col2" ><span>0.63 [0.58, 0.67]</span></td>
          <td id="T_d300f_row13_col3" class="data row13 col3" ><span>0.70 [0.66, 0.75]</span></td>
          <td id="T_d300f_row13_col4" class="data row13 col4" ><span>0.85 [0.84, 0.87]</span></td>
          <td id="T_d300f_row13_col5" class="data row13 col5" ><span>0.79 [0.77, 0.80]</span></td>
          <td id="T_d300f_row13_col6" class="data row13 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_d300f_row13_col7" class="data row13 col7" ><span>14.01 [12.41, 15.61]</span></td>
          <td id="T_d300f_row13_col8" class="data row13 col8" ><span>3.16 [-4.84, 11.15]</span></td>
          <td id="T_d300f_row13_col9" class="data row13 col9" ><span>3.44 [2.92, 3.95]</span></td>
          <td id="T_d300f_row13_col10" class="data row13 col10" ><span>38.17 [33.66, 42.68]</span></td>
          <td id="T_d300f_row13_col11" class="data row13 col11" ><span>0.90 [0.68, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level0_row14" class="row_heading level0 row14" rowspan="7">HA</th>
          <th id="T_d300f_level1_row14" class="row_heading level1 row14" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_d300f_level2_row14" class="row_heading level2 row14" >MobGap</th>
          <td id="T_d300f_row14_col0" class="data row14 col0" >227</td>
          <td id="T_d300f_row14_col1" class="data row14 col1" ><span>0.78 [0.73, 0.83]</span></td>
          <td id="T_d300f_row14_col2" class="data row14 col2" ><span>0.65 [0.61, 0.70]</span></td>
          <td id="T_d300f_row14_col3" class="data row14 col3" ><span>0.70 [0.65, 0.74]</span></td>
          <td id="T_d300f_row14_col4" class="data row14 col4" ><span>0.86 [0.84, 0.87]</span><sup>*</sup></td>
          <td id="T_d300f_row14_col5" class="data row14 col5" ><span>0.84 [0.82, 0.85]</span></td>
          <td id="T_d300f_row14_col6" class="data row14 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_d300f_row14_col7" class="data row14 col7" ><span>12.26 [10.27, 14.25]</span></td>
          <td id="T_d300f_row14_col8" class="data row14 col8" ><span>2.92 [-11.31, 17.15]</span></td>
          <td id="T_d300f_row14_col9" class="data row14 col9" ><span>3.51 [2.60, 4.42]</span></td>
          <td id="T_d300f_row14_col10" class="data row14 col10" ><span>31.56 [26.73, 36.38]</span></td>
          <td id="T_d300f_row14_col11" class="data row14 col11" ><span>0.82 [0.74, 0.88]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row15" class="row_heading level2 row15" >Original Implementation</th>
          <td id="T_d300f_row15_col0" class="data row15 col0" >227</td>
          <td id="T_d300f_row15_col1" class="data row15 col1" ><span>0.77 [0.72, 0.82]</span></td>
          <td id="T_d300f_row15_col2" class="data row15 col2" ><span>0.64 [0.59, 0.68]</span></td>
          <td id="T_d300f_row15_col3" class="data row15 col3" ><span>0.69 [0.64, 0.73]</span></td>
          <td id="T_d300f_row15_col4" class="data row15 col4" ><span>0.88 [0.87, 0.89]</span></td>
          <td id="T_d300f_row15_col5" class="data row15 col5" ><span>0.85 [0.84, 0.87]</span></td>
          <td id="T_d300f_row15_col6" class="data row15 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_d300f_row15_col7" class="data row15 col7" ><span>11.20 [9.53, 12.87]</span></td>
          <td id="T_d300f_row15_col8" class="data row15 col8" ><span>1.86 [-8.25, 11.97]</span></td>
          <td id="T_d300f_row15_col9" class="data row15 col9" ><span>2.71 [2.09, 3.33]</span></td>
          <td id="T_d300f_row15_col10" class="data row15 col10" ><span>32.85 [27.62, 38.08]</span></td>
          <td id="T_d300f_row15_col11" class="data row15 col11" ><span>0.89 [0.84, 0.92]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level1_row16" class="row_heading level1 row16" rowspan="3">GsdIluz</th>
          <th id="T_d300f_level2_row16" class="row_heading level2 row16" >MobGap</th>
          <td id="T_d300f_row16_col0" class="data row16 col0" >227</td>
          <td id="T_d300f_row16_col1" class="data row16 col1" ><span>0.80 [0.75, 0.85]</span><sup>**</sup></td>
          <td id="T_d300f_row16_col2" class="data row16 col2" ><span>0.53 [0.49, 0.56]</span></td>
          <td id="T_d300f_row16_col3" class="data row16 col3" ><span>0.63 [0.59, 0.67]</span></td>
          <td id="T_d300f_row16_col4" class="data row16 col4" ><span>0.75 [0.73, 0.77]</span><sup>**</sup></td>
          <td id="T_d300f_row16_col5" class="data row16 col5" ><span>0.61 [0.59, 0.64]</span><sup>**</sup></td>
          <td id="T_d300f_row16_col6" class="data row16 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_d300f_row16_col7" class="data row16 col7" ><span>13.53 [11.94, 15.11]</span></td>
          <td id="T_d300f_row16_col8" class="data row16 col8" ><span>4.19 [-5.35, 13.73]</span></td>
          <td id="T_d300f_row16_col9" class="data row16 col9" ><span>4.50 [3.90, 5.10]</span></td>
          <td id="T_d300f_row16_col10" class="data row16 col10" ><span>60.68 [55.08, 66.28]</span><sup>**</sup></td>
          <td id="T_d300f_row16_col11" class="data row16 col11" ><span>0.85 [0.48, 0.93]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row17" class="row_heading level2 row17" >MobGap (original peak)</th>
          <td id="T_d300f_row17_col0" class="data row17 col0" >227</td>
          <td id="T_d300f_row17_col1" class="data row17 col1" ><span>0.71 [0.65, 0.76]</span></td>
          <td id="T_d300f_row17_col2" class="data row17 col2" ><span>0.55 [0.51, 0.60]</span></td>
          <td id="T_d300f_row17_col3" class="data row17 col3" ><span>0.61 [0.56, 0.65]</span></td>
          <td id="T_d300f_row17_col4" class="data row17 col4" ><span>0.83 [0.81, 0.84]</span></td>
          <td id="T_d300f_row17_col5" class="data row17 col5" ><span>0.77 [0.74, 0.79]</span></td>
          <td id="T_d300f_row17_col6" class="data row17 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_d300f_row17_col7" class="data row17 col7" ><span>9.54 [8.60, 10.48]</span></td>
          <td id="T_d300f_row17_col8" class="data row17 col8" ><span>0.20 [-12.55, 12.96]</span></td>
          <td id="T_d300f_row17_col9" class="data row17 col9" ><span>3.82 [3.14, 4.51]</span></td>
          <td id="T_d300f_row17_col10" class="data row17 col10" ><span>48.22 [43.50, 52.95]</span></td>
          <td id="T_d300f_row17_col11" class="data row17 col11" ><span>0.73 [0.66, 0.79]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row18" class="row_heading level2 row18" >Original Implementation</th>
          <td id="T_d300f_row18_col0" class="data row18 col0" >227</td>
          <td id="T_d300f_row18_col1" class="data row18 col1" ><span>0.69 [0.64, 0.75]</span></td>
          <td id="T_d300f_row18_col2" class="data row18 col2" ><span>0.53 [0.49, 0.57]</span></td>
          <td id="T_d300f_row18_col3" class="data row18 col3" ><span>0.59 [0.55, 0.64]</span></td>
          <td id="T_d300f_row18_col4" class="data row18 col4" ><span>0.84 [0.82, 0.85]</span></td>
          <td id="T_d300f_row18_col5" class="data row18 col5" ><span>0.78 [0.76, 0.81]</span></td>
          <td id="T_d300f_row18_col6" class="data row18 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_d300f_row18_col7" class="data row18 col7" ><span>10.93 [9.45, 12.41]</span></td>
          <td id="T_d300f_row18_col8" class="data row18 col8" ><span>1.59 [-6.00, 9.19]</span></td>
          <td id="T_d300f_row18_col9" class="data row18 col9" ><span>2.71 [2.30, 3.13]</span></td>
          <td id="T_d300f_row18_col10" class="data row18 col10" ><span>45.40 [40.48, 50.32]</span></td>
          <td id="T_d300f_row18_col11" class="data row18 col11" ><span>0.93 [0.88, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level1_row19" class="row_heading level1 row19" rowspan="2">GsdIonescu</th>
          <th id="T_d300f_level2_row19" class="row_heading level2 row19" >MobGap</th>
          <td id="T_d300f_row19_col0" class="data row19 col0" >227</td>
          <td id="T_d300f_row19_col1" class="data row19 col1" ><span>0.82 [0.77, 0.86]</span></td>
          <td id="T_d300f_row19_col2" class="data row19 col2" ><span>0.61 [0.57, 0.65]</span></td>
          <td id="T_d300f_row19_col3" class="data row19 col3" ><span>0.69 [0.65, 0.74]</span></td>
          <td id="T_d300f_row19_col4" class="data row19 col4" ><span>0.83 [0.82, 0.84]</span></td>
          <td id="T_d300f_row19_col5" class="data row19 col5" ><span>0.75 [0.73, 0.77]</span></td>
          <td id="T_d300f_row19_col6" class="data row19 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_d300f_row19_col7" class="data row19 col7" ><span>12.64 [11.02, 14.27]</span></td>
          <td id="T_d300f_row19_col8" class="data row19 col8" ><span>3.31 [-4.64, 11.26]</span></td>
          <td id="T_d300f_row19_col9" class="data row19 col9" ><span>3.43 [2.91, 3.94]</span></td>
          <td id="T_d300f_row19_col10" class="data row19 col10" ><span>38.94 [35.03, 42.85]</span></td>
          <td id="T_d300f_row19_col11" class="data row19 col11" ><span>0.90 [0.64, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row20" class="row_heading level2 row20" >Original Implementation</th>
          <td id="T_d300f_row20_col0" class="data row20 col0" >227</td>
          <td id="T_d300f_row20_col1" class="data row20 col1" ><span>0.81 [0.77, 0.86]</span></td>
          <td id="T_d300f_row20_col2" class="data row20 col2" ><span>0.62 [0.58, 0.65]</span></td>
          <td id="T_d300f_row20_col3" class="data row20 col3" ><span>0.70 [0.65, 0.74]</span></td>
          <td id="T_d300f_row20_col4" class="data row20 col4" ><span>0.83 [0.82, 0.85]</span></td>
          <td id="T_d300f_row20_col5" class="data row20 col5" ><span>0.75 [0.73, 0.77]</span></td>
          <td id="T_d300f_row20_col6" class="data row20 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_d300f_row20_col7" class="data row20 col7" ><span>12.20 [10.75, 13.65]</span></td>
          <td id="T_d300f_row20_col8" class="data row20 col8" ><span>2.86 [-2.95, 8.67]</span></td>
          <td id="T_d300f_row20_col9" class="data row20 col9" ><span>3.02 [2.65, 3.38]</span></td>
          <td id="T_d300f_row20_col10" class="data row20 col10" ><span>36.93 [33.25, 40.61]</span></td>
          <td id="T_d300f_row20_col11" class="data row20 col11" ><span>0.93 [0.62, 0.97]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level0_row21" class="row_heading level0 row21" rowspan="7">MS</th>
          <th id="T_d300f_level1_row21" class="row_heading level1 row21" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_d300f_level2_row21" class="row_heading level2 row21" >MobGap</th>
          <td id="T_d300f_row21_col0" class="data row21 col0" >228</td>
          <td id="T_d300f_row21_col1" class="data row21 col1" ><span>0.87 [0.83, 0.90]</span></td>
          <td id="T_d300f_row21_col2" class="data row21 col2" ><span>0.79 [0.76, 0.82]</span></td>
          <td id="T_d300f_row21_col3" class="data row21 col3" ><span>0.81 [0.78, 0.84]</span></td>
          <td id="T_d300f_row21_col4" class="data row21 col4" ><span>0.86 [0.84, 0.88]</span></td>
          <td id="T_d300f_row21_col5" class="data row21 col5" ><span>0.85 [0.83, 0.87]</span></td>
          <td id="T_d300f_row21_col6" class="data row21 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_d300f_row21_col7" class="data row21 col7" ><span>14.76 [12.53, 16.99]</span></td>
          <td id="T_d300f_row21_col8" class="data row21 col8" ><span>1.91 [-17.00, 20.82]</span></td>
          <td id="T_d300f_row21_col9" class="data row21 col9" ><span>3.89 [2.72, 5.06]</span></td>
          <td id="T_d300f_row21_col10" class="data row21 col10" ><span>27.31 [22.62, 32.01]</span></td>
          <td id="T_d300f_row21_col11" class="data row21 col11" ><span>0.78 [0.72, 0.83]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row22" class="row_heading level2 row22" >Original Implementation</th>
          <td id="T_d300f_row22_col0" class="data row22 col0" >228</td>
          <td id="T_d300f_row22_col1" class="data row22 col1" ><span>0.86 [0.83, 0.89]</span></td>
          <td id="T_d300f_row22_col2" class="data row22 col2" ><span>0.77 [0.74, 0.81]</span></td>
          <td id="T_d300f_row22_col3" class="data row22 col3" ><span>0.80 [0.77, 0.83]</span></td>
          <td id="T_d300f_row22_col4" class="data row22 col4" ><span>0.86 [0.84, 0.87]</span></td>
          <td id="T_d300f_row22_col5" class="data row22 col5" ><span>0.84 [0.82, 0.86]</span></td>
          <td id="T_d300f_row22_col6" class="data row22 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_d300f_row22_col7" class="data row22 col7" ><span>14.30 [12.31, 16.29]</span></td>
          <td id="T_d300f_row22_col8" class="data row22 col8" ><span>1.45 [-14.66, 17.55]</span></td>
          <td id="T_d300f_row22_col9" class="data row22 col9" ><span>3.71 [2.74, 4.68]</span></td>
          <td id="T_d300f_row22_col10" class="data row22 col10" ><span>28.57 [23.99, 33.16]</span></td>
          <td id="T_d300f_row22_col11" class="data row22 col11" ><span>0.81 [0.76, 0.85]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level1_row23" class="row_heading level1 row23" rowspan="3">GsdIluz</th>
          <th id="T_d300f_level2_row23" class="row_heading level2 row23" >MobGap</th>
          <td id="T_d300f_row23_col0" class="data row23 col0" >228</td>
          <td id="T_d300f_row23_col1" class="data row23 col1" ><span>0.95 [0.92, 0.97]</span><sup>**</sup></td>
          <td id="T_d300f_row23_col2" class="data row23 col2" ><span>0.64 [0.62, 0.67]</span></td>
          <td id="T_d300f_row23_col3" class="data row23 col3" ><span>0.75 [0.73, 0.78]</span></td>
          <td id="T_d300f_row23_col4" class="data row23 col4" ><span>0.76 [0.74, 0.77]</span><sup>**</sup></td>
          <td id="T_d300f_row23_col5" class="data row23 col5" ><span>0.54 [0.52, 0.57]</span><sup>**</sup></td>
          <td id="T_d300f_row23_col6" class="data row23 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_d300f_row23_col7" class="data row23 col7" ><span>18.26 [16.11, 20.41]</span></td>
          <td id="T_d300f_row23_col8" class="data row23 col8" ><span>5.40 [-10.45, 21.25]</span></td>
          <td id="T_d300f_row23_col9" class="data row23 col9" ><span>5.59 [4.56, 6.63]</span></td>
          <td id="T_d300f_row23_col10" class="data row23 col10" ><span>57.94 [52.34, 63.54]</span><sup>**</sup></td>
          <td id="T_d300f_row23_col11" class="data row23 col11" ><span>0.79 [0.53, 0.88]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row24" class="row_heading level2 row24" >MobGap (original peak)</th>
          <td id="T_d300f_row24_col0" class="data row24 col0" >228</td>
          <td id="T_d300f_row24_col1" class="data row24 col1" ><span>0.86 [0.82, 0.90]</span></td>
          <td id="T_d300f_row24_col2" class="data row24 col2" ><span>0.70 [0.66, 0.73]</span></td>
          <td id="T_d300f_row24_col3" class="data row24 col3" ><span>0.75 [0.72, 0.79]</span></td>
          <td id="T_d300f_row24_col4" class="data row24 col4" ><span>0.81 [0.79, 0.83]</span></td>
          <td id="T_d300f_row24_col5" class="data row24 col5" ><span>0.73 [0.70, 0.75]</span></td>
          <td id="T_d300f_row24_col6" class="data row24 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_d300f_row24_col7" class="data row24 col7" ><span>13.39 [12.07, 14.72]</span></td>
          <td id="T_d300f_row24_col8" class="data row24 col8" ><span>0.54 [-13.52, 14.60]</span></td>
          <td id="T_d300f_row24_col9" class="data row24 col9" ><span>4.10 [3.33, 4.87]</span></td>
          <td id="T_d300f_row24_col10" class="data row24 col10" ><span>42.59 [37.75, 47.43]</span></td>
          <td id="T_d300f_row24_col11" class="data row24 col11" ><span>0.79 [0.73, 0.83]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row25" class="row_heading level2 row25" >Original Implementation</th>
          <td id="T_d300f_row25_col0" class="data row25 col0" >228</td>
          <td id="T_d300f_row25_col1" class="data row25 col1" ><span>0.86 [0.82, 0.90]</span></td>
          <td id="T_d300f_row25_col2" class="data row25 col2" ><span>0.66 [0.62, 0.70]</span></td>
          <td id="T_d300f_row25_col3" class="data row25 col3" ><span>0.74 [0.70, 0.77]</span></td>
          <td id="T_d300f_row25_col4" class="data row25 col4" ><span>0.81 [0.80, 0.83]</span></td>
          <td id="T_d300f_row25_col5" class="data row25 col5" ><span>0.72 [0.69, 0.74]</span></td>
          <td id="T_d300f_row25_col6" class="data row25 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_d300f_row25_col7" class="data row25 col7" ><span>15.28 [13.40, 17.15]</span></td>
          <td id="T_d300f_row25_col8" class="data row25 col8" ><span>2.42 [-11.07, 15.91]</span></td>
          <td id="T_d300f_row25_col9" class="data row25 col9" ><span>4.04 [3.25, 4.83]</span></td>
          <td id="T_d300f_row25_col10" class="data row25 col10" ><span>43.82 [38.94, 48.69]</span></td>
          <td id="T_d300f_row25_col11" class="data row25 col11" ><span>0.85 [0.78, 0.89]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level1_row26" class="row_heading level1 row26" rowspan="2">GsdIonescu</th>
          <th id="T_d300f_level2_row26" class="row_heading level2 row26" >MobGap</th>
          <td id="T_d300f_row26_col0" class="data row26 col0" >228</td>
          <td id="T_d300f_row26_col1" class="data row26 col1" ><span>0.94 [0.91, 0.96]</span></td>
          <td id="T_d300f_row26_col2" class="data row26 col2" ><span>0.72 [0.70, 0.75]</span></td>
          <td id="T_d300f_row26_col3" class="data row26 col3" ><span>0.81 [0.78, 0.83]</span></td>
          <td id="T_d300f_row26_col4" class="data row26 col4" ><span>0.83 [0.82, 0.85]</span></td>
          <td id="T_d300f_row26_col5" class="data row26 col5" ><span>0.72 [0.70, 0.74]</span></td>
          <td id="T_d300f_row26_col6" class="data row26 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_d300f_row26_col7" class="data row26 col7" ><span>15.92 [14.06, 17.78]</span></td>
          <td id="T_d300f_row26_col8" class="data row26 col8" ><span>3.07 [-9.41, 15.55]</span></td>
          <td id="T_d300f_row26_col9" class="data row26 col9" ><span>3.87 [3.10, 4.64]</span></td>
          <td id="T_d300f_row26_col10" class="data row26 col10" ><span>37.62 [33.46, 41.77]</span></td>
          <td id="T_d300f_row26_col11" class="data row26 col11" ><span>0.86 [0.75, 0.91]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row27" class="row_heading level2 row27" >Original Implementation</th>
          <td id="T_d300f_row27_col0" class="data row27 col0" >228</td>
          <td id="T_d300f_row27_col1" class="data row27 col1" ><span>0.93 [0.90, 0.96]</span></td>
          <td id="T_d300f_row27_col2" class="data row27 col2" ><span>0.72 [0.70, 0.75]</span></td>
          <td id="T_d300f_row27_col3" class="data row27 col3" ><span>0.80 [0.78, 0.83]</span></td>
          <td id="T_d300f_row27_col4" class="data row27 col4" ><span>0.83 [0.82, 0.85]</span></td>
          <td id="T_d300f_row27_col5" class="data row27 col5" ><span>0.72 [0.70, 0.74]</span></td>
          <td id="T_d300f_row27_col6" class="data row27 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_d300f_row27_col7" class="data row27 col7" ><span>15.42 [13.72, 17.12]</span></td>
          <td id="T_d300f_row27_col8" class="data row27 col8" ><span>2.56 [-8.23, 13.36]</span></td>
          <td id="T_d300f_row27_col9" class="data row27 col9" ><span>3.60 [2.97, 4.24]</span></td>
          <td id="T_d300f_row27_col10" class="data row27 col10" ><span>37.13 [33.12, 41.15]</span></td>
          <td id="T_d300f_row27_col11" class="data row27 col11" ><span>0.88 [0.80, 0.93]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level0_row28" class="row_heading level0 row28" rowspan="7">PD</th>
          <th id="T_d300f_level1_row28" class="row_heading level1 row28" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_d300f_level2_row28" class="row_heading level2 row28" >MobGap</th>
          <td id="T_d300f_row28_col0" class="data row28 col0" >224</td>
          <td id="T_d300f_row28_col1" class="data row28 col1" ><span>0.73 [0.68, 0.78]</span></td>
          <td id="T_d300f_row28_col2" class="data row28 col2" ><span>0.67 [0.63, 0.72]</span></td>
          <td id="T_d300f_row28_col3" class="data row28 col3" ><span>0.68 [0.64, 0.73]</span></td>
          <td id="T_d300f_row28_col4" class="data row28 col4" ><span>0.84 [0.82, 0.86]</span></td>
          <td id="T_d300f_row28_col5" class="data row28 col5" ><span>0.87 [0.85, 0.89]</span></td>
          <td id="T_d300f_row28_col6" class="data row28 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_d300f_row28_col7" class="data row28 col7" ><span>13.35 [11.13, 15.56]</span></td>
          <td id="T_d300f_row28_col8" class="data row28 col8" ><span>1.52 [-14.61, 17.66]</span></td>
          <td id="T_d300f_row28_col9" class="data row28 col9" ><span>4.04 [3.08, 5.00]</span></td>
          <td id="T_d300f_row28_col10" class="data row28 col10" ><span>33.45 [27.88, 39.01]</span></td>
          <td id="T_d300f_row28_col11" class="data row28 col11" ><span>0.85 [0.81, 0.89]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row29" class="row_heading level2 row29" >Original Implementation</th>
          <td id="T_d300f_row29_col0" class="data row29 col0" >224</td>
          <td id="T_d300f_row29_col1" class="data row29 col1" ><span>0.75 [0.70, 0.79]</span></td>
          <td id="T_d300f_row29_col2" class="data row29 col2" ><span>0.69 [0.65, 0.74]</span></td>
          <td id="T_d300f_row29_col3" class="data row29 col3" ><span>0.70 [0.66, 0.75]</span></td>
          <td id="T_d300f_row29_col4" class="data row29 col4" ><span>0.86 [0.85, 0.88]</span></td>
          <td id="T_d300f_row29_col5" class="data row29 col5" ><span>0.87 [0.85, 0.89]</span></td>
          <td id="T_d300f_row29_col6" class="data row29 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_d300f_row29_col7" class="data row29 col7" ><span>12.81 [10.78, 14.85]</span></td>
          <td id="T_d300f_row29_col8" class="data row29 col8" ><span>0.99 [-12.59, 14.57]</span></td>
          <td id="T_d300f_row29_col9" class="data row29 col9" ><span>3.43 [2.63, 4.23]</span></td>
          <td id="T_d300f_row29_col10" class="data row29 col10" ><span>29.43 [24.73, 34.13]</span></td>
          <td id="T_d300f_row29_col11" class="data row29 col11" ><span>0.89 [0.85, 0.91]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level1_row30" class="row_heading level1 row30" rowspan="3">GsdIluz</th>
          <th id="T_d300f_level2_row30" class="row_heading level2 row30" >MobGap</th>
          <td id="T_d300f_row30_col0" class="data row30 col0" >224</td>
          <td id="T_d300f_row30_col1" class="data row30 col1" ><span>0.85 [0.80, 0.89]</span><sup>**</sup></td>
          <td id="T_d300f_row30_col2" class="data row30 col2" ><span>0.58 [0.55, 0.62]</span></td>
          <td id="T_d300f_row30_col3" class="data row30 col3" ><span>0.68 [0.64, 0.72]</span></td>
          <td id="T_d300f_row30_col4" class="data row30 col4" ><span>0.75 [0.73, 0.78]</span><sup>**</sup></td>
          <td id="T_d300f_row30_col5" class="data row30 col5" ><span>0.60 [0.57, 0.63]</span><sup>**</sup></td>
          <td id="T_d300f_row30_col6" class="data row30 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_d300f_row30_col7" class="data row30 col7" ><span>16.53 [14.43, 18.64]</span></td>
          <td id="T_d300f_row30_col8" class="data row30 col8" ><span>4.71 [-5.16, 14.58]</span></td>
          <td id="T_d300f_row30_col9" class="data row30 col9" ><span>4.98 [4.36, 5.60]</span></td>
          <td id="T_d300f_row30_col10" class="data row30 col10" ><span>54.21 [49.04, 59.38]</span><sup>**</sup></td>
          <td id="T_d300f_row30_col11" class="data row30 col11" ><span>0.90 [0.54, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row31" class="row_heading level2 row31" >MobGap (original peak)</th>
          <td id="T_d300f_row31_col0" class="data row31 col0" >224</td>
          <td id="T_d300f_row31_col1" class="data row31 col1" ><span>0.71 [0.65, 0.76]</span></td>
          <td id="T_d300f_row31_col2" class="data row31 col2" ><span>0.60 [0.55, 0.65]</span></td>
          <td id="T_d300f_row31_col3" class="data row31 col3" ><span>0.63 [0.58, 0.68]</span></td>
          <td id="T_d300f_row31_col4" class="data row31 col4" ><span>0.82 [0.79, 0.84]</span></td>
          <td id="T_d300f_row31_col5" class="data row31 col5" ><span>0.79 [0.77, 0.82]</span></td>
          <td id="T_d300f_row31_col6" class="data row31 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_d300f_row31_col7" class="data row31 col7" ><span>10.92 [9.76, 12.07]</span></td>
          <td id="T_d300f_row31_col8" class="data row31 col8" ><span>-0.91 [-19.57, 17.75]</span></td>
          <td id="T_d300f_row31_col9" class="data row31 col9" ><span>4.52 [3.42, 5.62]</span></td>
          <td id="T_d300f_row31_col10" class="data row31 col10" ><span>42.79 [38.23, 47.36]</span></td>
          <td id="T_d300f_row31_col11" class="data row31 col11" ><span>0.66 [0.58, 0.73]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row32" class="row_heading level2 row32" >Original Implementation</th>
          <td id="T_d300f_row32_col0" class="data row32 col0" >224</td>
          <td id="T_d300f_row32_col1" class="data row32 col1" ><span>0.72 [0.66, 0.77]</span></td>
          <td id="T_d300f_row32_col2" class="data row32 col2" ><span>0.58 [0.53, 0.62]</span></td>
          <td id="T_d300f_row32_col3" class="data row32 col3" ><span>0.63 [0.58, 0.68]</span></td>
          <td id="T_d300f_row32_col4" class="data row32 col4" ><span>0.83 [0.82, 0.85]</span></td>
          <td id="T_d300f_row32_col5" class="data row32 col5" ><span>0.79 [0.77, 0.82]</span></td>
          <td id="T_d300f_row32_col6" class="data row32 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_d300f_row32_col7" class="data row32 col7" ><span>13.25 [11.41, 15.10]</span></td>
          <td id="T_d300f_row32_col8" class="data row32 col8" ><span>1.43 [-8.13, 10.99]</span></td>
          <td id="T_d300f_row32_col9" class="data row32 col9" ><span>3.15 [2.62, 3.67]</span></td>
          <td id="T_d300f_row32_col10" class="data row32 col10" ><span>40.07 [35.68, 44.45]</span></td>
          <td id="T_d300f_row32_col11" class="data row32 col11" ><span>0.93 [0.91, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level1_row33" class="row_heading level1 row33" rowspan="2">GsdIonescu</th>
          <th id="T_d300f_level2_row33" class="row_heading level2 row33" >MobGap</th>
          <td id="T_d300f_row33_col0" class="data row33 col0" >224</td>
          <td id="T_d300f_row33_col1" class="data row33 col1" ><span>0.84 [0.79, 0.88]</span></td>
          <td id="T_d300f_row33_col2" class="data row33 col2" ><span>0.65 [0.61, 0.69]</span></td>
          <td id="T_d300f_row33_col3" class="data row33 col3" ><span>0.73 [0.69, 0.77]</span></td>
          <td id="T_d300f_row33_col4" class="data row33 col4" ><span>0.83 [0.82, 0.84]</span></td>
          <td id="T_d300f_row33_col5" class="data row33 col5" ><span>0.74 [0.72, 0.76]</span></td>
          <td id="T_d300f_row33_col6" class="data row33 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_d300f_row33_col7" class="data row33 col7" ><span>14.68 [12.84, 16.53]</span></td>
          <td id="T_d300f_row33_col8" class="data row33 col8" ><span>2.86 [-6.05, 11.77]</span></td>
          <td id="T_d300f_row33_col9" class="data row33 col9" ><span>3.58 [3.06, 4.10]</span></td>
          <td id="T_d300f_row33_col10" class="data row33 col10" ><span>35.07 [31.50, 38.64]</span></td>
          <td id="T_d300f_row33_col11" class="data row33 col11" ><span>0.93 [0.82, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row34" class="row_heading level2 row34" >Original Implementation</th>
          <td id="T_d300f_row34_col0" class="data row34 col0" >224</td>
          <td id="T_d300f_row34_col1" class="data row34 col1" ><span>0.83 [0.79, 0.87]</span></td>
          <td id="T_d300f_row34_col2" class="data row34 col2" ><span>0.66 [0.62, 0.69]</span></td>
          <td id="T_d300f_row34_col3" class="data row34 col3" ><span>0.72 [0.69, 0.76]</span></td>
          <td id="T_d300f_row34_col4" class="data row34 col4" ><span>0.83 [0.81, 0.84]</span></td>
          <td id="T_d300f_row34_col5" class="data row34 col5" ><span>0.74 [0.72, 0.76]</span></td>
          <td id="T_d300f_row34_col6" class="data row34 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_d300f_row34_col7" class="data row34 col7" ><span>14.23 [12.54, 15.92]</span></td>
          <td id="T_d300f_row34_col8" class="data row34 col8" ><span>2.40 [-5.97, 10.78]</span></td>
          <td id="T_d300f_row34_col9" class="data row34 col9" ><span>3.32 [2.85, 3.79]</span></td>
          <td id="T_d300f_row34_col10" class="data row34 col10" ><span>33.51 [30.24, 36.78]</span></td>
          <td id="T_d300f_row34_col11" class="data row34 col11" ><span>0.93 [0.86, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level0_row35" class="row_heading level0 row35" rowspan="7">PFF</th>
          <th id="T_d300f_level1_row35" class="row_heading level1 row35" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_d300f_level2_row35" class="row_heading level2 row35" >MobGap</th>
          <td id="T_d300f_row35_col0" class="data row35 col0" >169</td>
          <td id="T_d300f_row35_col1" class="data row35 col1" ><span>0.89 [0.86, 0.92]</span></td>
          <td id="T_d300f_row35_col2" class="data row35 col2" ><span>0.81 [0.78, 0.84]</span></td>
          <td id="T_d300f_row35_col3" class="data row35 col3" ><span>0.83 [0.80, 0.85]</span></td>
          <td id="T_d300f_row35_col4" class="data row35 col4" ><span>0.84 [0.82, 0.86]</span></td>
          <td id="T_d300f_row35_col5" class="data row35 col5" ><span>0.81 [0.78, 0.83]</span></td>
          <td id="T_d300f_row35_col6" class="data row35 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_d300f_row35_col7" class="data row35 col7" ><span>20.51 [16.49, 24.52]</span></td>
          <td id="T_d300f_row35_col8" class="data row35 col8" ><span>2.89 [-25.49, 31.27]</span></td>
          <td id="T_d300f_row35_col9" class="data row35 col9" ><span>6.45 [4.45, 8.45]</span></td>
          <td id="T_d300f_row35_col10" class="data row35 col10" ><span>31.05 [25.52, 36.59]</span></td>
          <td id="T_d300f_row35_col11" class="data row35 col11" ><span>0.80 [0.74, 0.85]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row36" class="row_heading level2 row36" >Original Implementation</th>
          <td id="T_d300f_row36_col0" class="data row36 col0" >169</td>
          <td id="T_d300f_row36_col1" class="data row36 col1" ><span>0.87 [0.84, 0.91]</span></td>
          <td id="T_d300f_row36_col2" class="data row36 col2" ><span>0.79 [0.75, 0.82]</span></td>
          <td id="T_d300f_row36_col3" class="data row36 col3" ><span>0.81 [0.78, 0.84]</span></td>
          <td id="T_d300f_row36_col4" class="data row36 col4" ><span>0.82 [0.80, 0.84]</span></td>
          <td id="T_d300f_row36_col5" class="data row36 col5" ><span>0.80 [0.77, 0.83]</span></td>
          <td id="T_d300f_row36_col6" class="data row36 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_d300f_row36_col7" class="data row36 col7" ><span>19.69 [16.04, 23.34]</span></td>
          <td id="T_d300f_row36_col8" class="data row36 col8" ><span>2.07 [-22.44, 26.57]</span></td>
          <td id="T_d300f_row36_col9" class="data row36 col9" ><span>6.08 [4.41, 7.76]</span></td>
          <td id="T_d300f_row36_col10" class="data row36 col10" ><span>32.81 [27.38, 38.23]</span></td>
          <td id="T_d300f_row36_col11" class="data row36 col11" ><span>0.83 [0.78, 0.87]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level1_row37" class="row_heading level1 row37" rowspan="3">GsdIluz</th>
          <th id="T_d300f_level2_row37" class="row_heading level2 row37" >MobGap</th>
          <td id="T_d300f_row37_col0" class="data row37 col0" >169</td>
          <td id="T_d300f_row37_col1" class="data row37 col1" ><span>0.93 [0.90, 0.95]</span><sup>**</sup></td>
          <td id="T_d300f_row37_col2" class="data row37 col2" ><span>0.70 [0.67, 0.73]</span><sup>*</sup></td>
          <td id="T_d300f_row37_col3" class="data row37 col3" ><span>0.77 [0.75, 0.80]</span><sup>**</sup></td>
          <td id="T_d300f_row37_col4" class="data row37 col4" ><span>0.77 [0.75, 0.78]</span></td>
          <td id="T_d300f_row37_col5" class="data row37 col5" ><span>0.59 [0.56, 0.62]</span><sup>**</sup></td>
          <td id="T_d300f_row37_col6" class="data row37 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_d300f_row37_col7" class="data row37 col7" ><span>20.54 [17.41, 23.68]</span></td>
          <td id="T_d300f_row37_col8" class="data row37 col8" ><span>2.92 [-18.67, 24.51]</span></td>
          <td id="T_d300f_row37_col9" class="data row37 col9" ><span>6.64 [5.25, 8.03]</span></td>
          <td id="T_d300f_row37_col10" class="data row37 col10" ><span>50.80 [44.61, 57.00]</span></td>
          <td id="T_d300f_row37_col11" class="data row37 col11" ><span>0.84 [0.78, 0.88]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row38" class="row_heading level2 row38" >MobGap (original peak)</th>
          <td id="T_d300f_row38_col0" class="data row38 col0" >169</td>
          <td id="T_d300f_row38_col1" class="data row38 col1" ><span>0.67 [0.60, 0.73]</span></td>
          <td id="T_d300f_row38_col2" class="data row38 col2" ><span>0.58 [0.53, 0.64]</span></td>
          <td id="T_d300f_row38_col3" class="data row38 col3" ><span>0.59 [0.54, 0.65]</span></td>
          <td id="T_d300f_row38_col4" class="data row38 col4" ><span>0.72 [0.69, 0.75]</span></td>
          <td id="T_d300f_row38_col5" class="data row38 col5" ><span>0.80 [0.77, 0.83]</span></td>
          <td id="T_d300f_row38_col6" class="data row38 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_d300f_row38_col7" class="data row38 col7" ><span>10.24 [8.73, 11.76]</span></td>
          <td id="T_d300f_row38_col8" class="data row38 col8" ><span>-7.38 [-45.37, 30.62]</span></td>
          <td id="T_d300f_row38_col9" class="data row38 col9" ><span>10.23 [7.51, 12.95]</span></td>
          <td id="T_d300f_row38_col10" class="data row38 col10" ><span>56.51 [50.51, 62.51]</span></td>
          <td id="T_d300f_row38_col11" class="data row38 col11" ><span>0.18 [0.03, 0.31]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row39" class="row_heading level2 row39" >Original Implementation</th>
          <td id="T_d300f_row39_col0" class="data row39 col0" >169</td>
          <td id="T_d300f_row39_col1" class="data row39 col1" ><span>0.74 [0.68, 0.79]</span></td>
          <td id="T_d300f_row39_col2" class="data row39 col2" ><span>0.64 [0.59, 0.69]</span></td>
          <td id="T_d300f_row39_col3" class="data row39 col3" ><span>0.66 [0.61, 0.71]</span></td>
          <td id="T_d300f_row39_col4" class="data row39 col4" ><span>0.76 [0.73, 0.78]</span></td>
          <td id="T_d300f_row39_col5" class="data row39 col5" ><span>0.78 [0.75, 0.81]</span></td>
          <td id="T_d300f_row39_col6" class="data row39 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_d300f_row39_col7" class="data row39 col7" ><span>12.86 [10.95, 14.78]</span></td>
          <td id="T_d300f_row39_col8" class="data row39 col8" ><span>-4.76 [-39.26, 29.74]</span></td>
          <td id="T_d300f_row39_col9" class="data row39 col9" ><span>8.42 [5.98, 10.86]</span></td>
          <td id="T_d300f_row39_col10" class="data row39 col10" ><span>48.22 [42.13, 54.32]</span></td>
          <td id="T_d300f_row39_col11" class="data row39 col11" ><span>0.40 [0.26, 0.52]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level1_row40" class="row_heading level1 row40" rowspan="2">GsdIonescu</th>
          <th id="T_d300f_level2_row40" class="row_heading level2 row40" >MobGap</th>
          <td id="T_d300f_row40_col0" class="data row40 col0" >169</td>
          <td id="T_d300f_row40_col1" class="data row40 col1" ><span>0.89 [0.86, 0.92]</span></td>
          <td id="T_d300f_row40_col2" class="data row40 col2" ><span>0.80 [0.77, 0.82]</span></td>
          <td id="T_d300f_row40_col3" class="data row40 col3" ><span>0.82 [0.80, 0.85]</span></td>
          <td id="T_d300f_row40_col4" class="data row40 col4" ><span>0.84 [0.83, 0.86]</span></td>
          <td id="T_d300f_row40_col5" class="data row40 col5" ><span>0.79 [0.77, 0.81]</span></td>
          <td id="T_d300f_row40_col6" class="data row40 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_d300f_row40_col7" class="data row40 col7" ><span>16.49 [14.20, 18.79]</span></td>
          <td id="T_d300f_row40_col8" class="data row40 col8" ><span>-1.13 [-18.98, 16.73]</span></td>
          <td id="T_d300f_row40_col9" class="data row40 col9" ><span>4.77 [3.59, 5.95]</span></td>
          <td id="T_d300f_row40_col10" class="data row40 col10" ><span>30.17 [26.53, 33.81]</span></td>
          <td id="T_d300f_row40_col11" class="data row40 col11" ><span>0.86 [0.82, 0.89]</span></td>
        </tr>
        <tr>
          <th id="T_d300f_level2_row41" class="row_heading level2 row41" >Original Implementation</th>
          <td id="T_d300f_row41_col0" class="data row41 col0" >169</td>
          <td id="T_d300f_row41_col1" class="data row41 col1" ><span>0.87 [0.84, 0.91]</span></td>
          <td id="T_d300f_row41_col2" class="data row41 col2" ><span>0.80 [0.78, 0.83]</span></td>
          <td id="T_d300f_row41_col3" class="data row41 col3" ><span>0.81 [0.79, 0.84]</span></td>
          <td id="T_d300f_row41_col4" class="data row41 col4" ><span>0.84 [0.82, 0.85]</span></td>
          <td id="T_d300f_row41_col5" class="data row41 col5" ><span>0.80 [0.78, 0.82]</span></td>
          <td id="T_d300f_row41_col6" class="data row41 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_d300f_row41_col7" class="data row41 col7" ><span>15.48 [13.50, 17.46]</span></td>
          <td id="T_d300f_row41_col8" class="data row41 col8" ><span>-2.14 [-22.17, 17.90]</span></td>
          <td id="T_d300f_row41_col9" class="data row41 col9" ><span>5.17 [3.80, 6.53]</span></td>
          <td id="T_d300f_row41_col10" class="data row41 col10" ><span>31.18 [27.31, 35.06]</span></td>
          <td id="T_d300f_row41_col11" class="data row41 col11" ><span>0.80 [0.74, 0.85]</span></td>
        </tr>
      </tbody>
    </table>

    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 531-534

Per Cohort
~~~~~~~~~~
While this provides a good overview, it does not fully reflect how these algorithms perform on the different cohorts.

.. GENERATED FROM PYTHON SOURCE LINES 534-544

.. code-block:: Python

    fig, ax = plt.subplots()
    sns.boxplot(
        data=lab_results_long,
        x="cohort",
        y="f1_score",
        hue="algo_with_version",
        ax=ax,
    )
    fig.show()




.. image-sg:: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_006.png
   :alt:  01 gsd analysis
   :srcset: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_006.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 545-568

.. code-block:: Python

    perf_metrics_per_cohort = (
        lab_results_long.pipe(
            multilevel_groupby_apply_merge,
            [
                (
                    ["cohort", "algo", "version"],
                    partial(apply_aggregations, aggregations=custom_aggs),
                ),
                (
                    ["cohort", "algo"],
                    partial(apply_transformations, transformations=stats_transform),
                ),
            ],
        )
        .pipe(format_results)
        .loc[cohort_order]
    )
    perf_metrics_per_cohort.style.pipe(
        revalidation_table_styles,
        validation_thresholds,
        ["cohort", "algo"],
    )






.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <style type="text/css">
    #T_59cc2_row0_col1, #T_59cc2_row2_col1, #T_59cc2_row5_col1, #T_59cc2_row7_col1, #T_59cc2_row7_col2, #T_59cc2_row7_col3, #T_59cc2_row7_col11, #T_59cc2_row9_col1, #T_59cc2_row9_col3, #T_59cc2_row12_col1, #T_59cc2_row12_col3, #T_59cc2_row12_col4, #T_59cc2_row12_col11, #T_59cc2_row14_col4, #T_59cc2_row14_col5, #T_59cc2_row16_col1, #T_59cc2_row19_col1, #T_59cc2_row19_col3, #T_59cc2_row21_col1, #T_59cc2_row21_col2, #T_59cc2_row21_col3, #T_59cc2_row21_col4, #T_59cc2_row21_col5, #T_59cc2_row23_col1, #T_59cc2_row23_col3, #T_59cc2_row24_col5, #T_59cc2_row26_col1, #T_59cc2_row26_col2, #T_59cc2_row26_col3, #T_59cc2_row26_col4, #T_59cc2_row28_col5, #T_59cc2_row30_col1, #T_59cc2_row33_col1, #T_59cc2_row33_col3, #T_59cc2_row33_col4, #T_59cc2_row35_col1, #T_59cc2_row35_col2, #T_59cc2_row35_col3, #T_59cc2_row35_col4, #T_59cc2_row35_col5, #T_59cc2_row37_col1, #T_59cc2_row37_col2, #T_59cc2_row37_col3, #T_59cc2_row37_col4, #T_59cc2_row37_col11, #T_59cc2_row38_col5, #T_59cc2_row40_col1, #T_59cc2_row40_col3, #T_59cc2_row40_col4, #T_59cc2_row40_col11 {
      font-weight: bold;
      background-color: lightgreen;
    }
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      font-weight: bold;
      background-color: lightcoral;
    }
    #T_59cc2_row0_col4, #T_59cc2_row0_col5, #T_59cc2_row0_col11, #T_59cc2_row2_col4, #T_59cc2_row2_col11, #T_59cc2_row3_col1, #T_59cc2_row3_col4, #T_59cc2_row3_col5, #T_59cc2_row3_col11, #T_59cc2_row5_col4, #T_59cc2_row5_col5, #T_59cc2_row5_col11, #T_59cc2_row7_col4, #T_59cc2_row7_col5, #T_59cc2_row9_col4, #T_59cc2_row9_col11, #T_59cc2_row10_col1, #T_59cc2_row10_col4, #T_59cc2_row14_col1, #T_59cc2_row14_col11, #T_59cc2_row16_col4, #T_59cc2_row16_col11, #T_59cc2_row17_col4, #T_59cc2_row17_col5, #T_59cc2_row17_col11, #T_59cc2_row19_col4, #T_59cc2_row19_col5, #T_59cc2_row19_col11, #T_59cc2_row21_col11, #T_59cc2_row23_col4, #T_59cc2_row23_col11, #T_59cc2_row24_col1, #T_59cc2_row24_col3, #T_59cc2_row24_col4, #T_59cc2_row24_col11, #T_59cc2_row26_col5, #T_59cc2_row26_col11, #T_59cc2_row28_col1, #T_59cc2_row28_col4, #T_59cc2_row28_col11, #T_59cc2_row30_col4, #T_59cc2_row30_col11, #T_59cc2_row31_col1, #T_59cc2_row31_col4, #T_59cc2_row31_col5, #T_59cc2_row33_col5, #T_59cc2_row33_col11, #T_59cc2_row35_col11, #T_59cc2_row38_col4, #T_59cc2_row40_col2, #T_59cc2_row40_col5 {
      background-color: lightgreen;
    }
    #T_59cc2_row1_col0, #T_59cc2_row1_col6, #T_59cc2_row1_col7, #T_59cc2_row1_col8, #T_59cc2_row4_col0, #T_59cc2_row4_col6, #T_59cc2_row4_col7, #T_59cc2_row4_col8, #T_59cc2_row6_col0, #T_59cc2_row6_col6, #T_59cc2_row6_col7, #T_59cc2_row6_col8, #T_59cc2_row8_col0, #T_59cc2_row8_col6, #T_59cc2_row8_col7, #T_59cc2_row8_col8, #T_59cc2_row8_col9, #T_59cc2_row11_col0, #T_59cc2_row11_col6, #T_59cc2_row11_col7, #T_59cc2_row11_col8, #T_59cc2_row13_col0, #T_59cc2_row13_col6, #T_59cc2_row13_col7, #T_59cc2_row13_col8, #T_59cc2_row13_col9, #T_59cc2_row15_col0, #T_59cc2_row15_col6, #T_59cc2_row15_col7, #T_59cc2_row15_col8, #T_59cc2_row18_col0, #T_59cc2_row18_col6, #T_59cc2_row18_col7, #T_59cc2_row18_col8, #T_59cc2_row20_col0, #T_59cc2_row20_col6, #T_59cc2_row20_col7, #T_59cc2_row20_col8, #T_59cc2_row22_col0, #T_59cc2_row22_col6, #T_59cc2_row22_col7, #T_59cc2_row22_col8, #T_59cc2_row25_col0, #T_59cc2_row25_col6, #T_59cc2_row25_col7, #T_59cc2_row25_col8, #T_59cc2_row27_col0, #T_59cc2_row27_col6, #T_59cc2_row27_col7, #T_59cc2_row27_col8, #T_59cc2_row29_col0, #T_59cc2_row29_col6, #T_59cc2_row29_col7, #T_59cc2_row29_col8, #T_59cc2_row32_col0, #T_59cc2_row32_col6, #T_59cc2_row32_col7, #T_59cc2_row32_col8, #T_59cc2_row34_col0, #T_59cc2_row34_col6, #T_59cc2_row34_col7, #T_59cc2_row34_col8, #T_59cc2_row36_col0, #T_59cc2_row36_col6, #T_59cc2_row36_col7, #T_59cc2_row36_col8, #T_59cc2_row39_col0, #T_59cc2_row39_col6, #T_59cc2_row39_col7, #T_59cc2_row39_col8, #T_59cc2_row39_col9, #T_59cc2_row41_col0, #T_59cc2_row41_col6, #T_59cc2_row41_col7, #T_59cc2_row41_col8, #T_59cc2_row41_col9 {
      border-bottom: 2px solid black;
    }
    #T_59cc2_row1_col1, #T_59cc2_row6_col1, #T_59cc2_row8_col1, #T_59cc2_row8_col2, #T_59cc2_row8_col3, #T_59cc2_row8_col11, #T_59cc2_row11_col1, #T_59cc2_row13_col1, #T_59cc2_row13_col3, #T_59cc2_row13_col4, #T_59cc2_row13_col11, #T_59cc2_row15_col4, #T_59cc2_row15_col5, #T_59cc2_row20_col1, #T_59cc2_row20_col3, #T_59cc2_row22_col1, #T_59cc2_row22_col2, #T_59cc2_row22_col3, #T_59cc2_row22_col4, #T_59cc2_row22_col5, #T_59cc2_row25_col1, #T_59cc2_row25_col3, #T_59cc2_row25_col5, #T_59cc2_row27_col1, #T_59cc2_row27_col2, #T_59cc2_row27_col3, #T_59cc2_row27_col4, #T_59cc2_row29_col5, #T_59cc2_row32_col1, #T_59cc2_row34_col1, #T_59cc2_row34_col3, #T_59cc2_row34_col4, #T_59cc2_row36_col1, #T_59cc2_row36_col2, #T_59cc2_row36_col3, #T_59cc2_row36_col4, #T_59cc2_row36_col5, #T_59cc2_row39_col1, #T_59cc2_row39_col4, #T_59cc2_row39_col5, #T_59cc2_row41_col1, #T_59cc2_row41_col3, #T_59cc2_row41_col4, #T_59cc2_row41_col11 {
      background-color: lightgreen;
      border-bottom: 2px solid black;
    }
    #T_59cc2_row1_col2, #T_59cc2_row1_col3, #T_59cc2_row1_col10, #T_59cc2_row4_col1, #T_59cc2_row4_col2, #T_59cc2_row4_col3, #T_59cc2_row8_col10, #T_59cc2_row11_col2, #T_59cc2_row11_col3, #T_59cc2_row13_col10, #T_59cc2_row18_col1, #T_59cc2_row18_col2, #T_59cc2_row18_col3, #T_59cc2_row20_col10, #T_59cc2_row22_col10, #T_59cc2_row25_col2, #T_59cc2_row25_col10, #T_59cc2_row32_col2, #T_59cc2_row32_col3, #T_59cc2_row36_col10, #T_59cc2_row39_col2, #T_59cc2_row39_col3, #T_59cc2_row39_col11, #T_59cc2_row41_col10 {
      background-color: lightcoral;
      border-bottom: 2px solid black;
    }
    #T_59cc2_row1_col4, #T_59cc2_row1_col5, #T_59cc2_row1_col11, #T_59cc2_row4_col4, #T_59cc2_row4_col5, #T_59cc2_row4_col11, #T_59cc2_row6_col4, #T_59cc2_row6_col5, #T_59cc2_row6_col11, #T_59cc2_row8_col4, #T_59cc2_row8_col5, #T_59cc2_row11_col4, #T_59cc2_row11_col5, #T_59cc2_row11_col11, #T_59cc2_row13_col5, #T_59cc2_row15_col1, #T_59cc2_row15_col3, #T_59cc2_row15_col11, #T_59cc2_row18_col4, #T_59cc2_row18_col5, #T_59cc2_row18_col11, #T_59cc2_row20_col4, #T_59cc2_row20_col5, #T_59cc2_row20_col11, #T_59cc2_row22_col11, #T_59cc2_row25_col4, #T_59cc2_row25_col11, #T_59cc2_row27_col5, #T_59cc2_row27_col11, #T_59cc2_row29_col1, #T_59cc2_row29_col3, #T_59cc2_row29_col4, #T_59cc2_row29_col11, #T_59cc2_row32_col4, #T_59cc2_row32_col5, #T_59cc2_row32_col11, #T_59cc2_row34_col5, #T_59cc2_row34_col11, #T_59cc2_row36_col11, #T_59cc2_row41_col2, #T_59cc2_row41_col5 {
      font-weight: bold;
      background-color: lightgreen;
      border-bottom: 2px solid black;
    }
    #T_59cc2_row1_col9, #T_59cc2_row4_col9, #T_59cc2_row6_col9, #T_59cc2_row11_col9, #T_59cc2_row15_col9, #T_59cc2_row18_col9, #T_59cc2_row20_col9, #T_59cc2_row22_col9, #T_59cc2_row25_col9, #T_59cc2_row27_col9, #T_59cc2_row29_col9, #T_59cc2_row32_col9, #T_59cc2_row34_col9, #T_59cc2_row36_col9 {
      font-weight: bold;
      border-bottom: 2px solid black;
    }
    #T_59cc2_row2_col2, #T_59cc2_row2_col5, #T_59cc2_row2_col10, #T_59cc2_row3_col3, #T_59cc2_row3_col10, #T_59cc2_row5_col2, #T_59cc2_row5_col3, #T_59cc2_row5_col10, #T_59cc2_row9_col2, #T_59cc2_row9_col5, #T_59cc2_row9_col10, #T_59cc2_row10_col3, #T_59cc2_row10_col5, #T_59cc2_row10_col10, #T_59cc2_row10_col11, #T_59cc2_row12_col2, #T_59cc2_row12_col5, #T_59cc2_row14_col2, #T_59cc2_row14_col3, #T_59cc2_row14_col10, #T_59cc2_row16_col2, #T_59cc2_row16_col5, #T_59cc2_row16_col10, #T_59cc2_row17_col1, #T_59cc2_row17_col3, #T_59cc2_row17_col10, #T_59cc2_row19_col2, #T_59cc2_row23_col2, #T_59cc2_row23_col5, #T_59cc2_row23_col10, #T_59cc2_row26_col10, #T_59cc2_row28_col2, #T_59cc2_row28_col3, #T_59cc2_row28_col10, #T_59cc2_row30_col2, #T_59cc2_row30_col5, #T_59cc2_row30_col10, #T_59cc2_row31_col3, #T_59cc2_row31_col10, #T_59cc2_row31_col11, #T_59cc2_row33_col2, #T_59cc2_row33_col10, #T_59cc2_row37_col5, #T_59cc2_row37_col10, #T_59cc2_row38_col1, #T_59cc2_row38_col2, #T_59cc2_row38_col3, #T_59cc2_row38_col10, #T_59cc2_row38_col11 {
      background-color: lightcoral;
    }
    #T_59cc2_row4_col10, #T_59cc2_row6_col2, #T_59cc2_row6_col3, #T_59cc2_row6_col10, #T_59cc2_row11_col10, #T_59cc2_row13_col2, #T_59cc2_row15_col2, #T_59cc2_row15_col10, #T_59cc2_row18_col10, #T_59cc2_row20_col2, #T_59cc2_row27_col10, #T_59cc2_row29_col2, #T_59cc2_row29_col10, #T_59cc2_row32_col10, #T_59cc2_row34_col2, #T_59cc2_row34_col10, #T_59cc2_row39_col10 {
      font-weight: bold;
      background-color: lightcoral;
      border-bottom: 2px solid black;
    }
    #T_59cc2_row7_col9, #T_59cc2_row12_col9, #T_59cc2_row37_col9, #T_59cc2_row40_col9 {
      font-weight: bold;
    }
    </style>
    <table id="T_59cc2" class="dataframe">
      <thead>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank" >&nbsp;</th>
          <th class="blank level0" >&nbsp;</th>
          <th id="T_59cc2_level0_col0" class="col_heading level0 col0" >General</th>
          <th id="T_59cc2_level0_col1" class="col_heading level0 col1" colspan="5">GSD</th>
          <th id="T_59cc2_level0_col6" class="col_heading level0 col6" colspan="6">GS duration</th>
        </tr>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank" >&nbsp;</th>
          <th class="blank level1" >&nbsp;</th>
          <th id="T_59cc2_level1_col0" class="col_heading level1 col0" ># recordings</th>
          <th id="T_59cc2_level1_col1" class="col_heading level1 col1" >Recall</th>
          <th id="T_59cc2_level1_col2" class="col_heading level1 col2" >Precision</th>
          <th id="T_59cc2_level1_col3" class="col_heading level1 col3" >F1 Score</th>
          <th id="T_59cc2_level1_col4" class="col_heading level1 col4" >Accuracy</th>
          <th id="T_59cc2_level1_col5" class="col_heading level1 col5" >Specificity</th>
          <th id="T_59cc2_level1_col6" class="col_heading level1 col6" >INDIP mean and CI [s]</th>
          <th id="T_59cc2_level1_col7" class="col_heading level1 col7" >WD mean and CI [s]</th>
          <th id="T_59cc2_level1_col8" class="col_heading level1 col8" >Bias and LoA [s]</th>
          <th id="T_59cc2_level1_col9" class="col_heading level1 col9" >Abs. Error [s]</th>
          <th id="T_59cc2_level1_col10" class="col_heading level1 col10" >Abs. Rel. Error [%]</th>
          <th id="T_59cc2_level1_col11" class="col_heading level1 col11" >ICC</th>
        </tr>
        <tr>
          <th class="index_name level0" >cohort</th>
          <th class="index_name level1" >algo</th>
          <th class="index_name level2" >version</th>
          <th class="blank col0" >&nbsp;</th>
          <th class="blank col1" >&nbsp;</th>
          <th class="blank col2" >&nbsp;</th>
          <th class="blank col3" >&nbsp;</th>
          <th class="blank col4" >&nbsp;</th>
          <th class="blank col5" >&nbsp;</th>
          <th class="blank col6" >&nbsp;</th>
          <th class="blank col7" >&nbsp;</th>
          <th class="blank col8" >&nbsp;</th>
          <th class="blank col9" >&nbsp;</th>
          <th class="blank col10" >&nbsp;</th>
          <th class="blank col11" >&nbsp;</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th id="T_59cc2_level0_row0" class="row_heading level0 row0" rowspan="7">HA</th>
          <th id="T_59cc2_level1_row0" class="row_heading level1 row0" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_59cc2_level2_row0" class="row_heading level2 row0" >MobGap</th>
          <td id="T_59cc2_row0_col0" class="data row0 col0" >227</td>
          <td id="T_59cc2_row0_col1" class="data row0 col1" ><span>0.78 [0.73, 0.83]</span></td>
          <td id="T_59cc2_row0_col2" class="data row0 col2" ><span>0.65 [0.61, 0.70]</span></td>
          <td id="T_59cc2_row0_col3" class="data row0 col3" ><span>0.70 [0.65, 0.74]</span></td>
          <td id="T_59cc2_row0_col4" class="data row0 col4" ><span>0.86 [0.84, 0.87]</span><sup>*</sup></td>
          <td id="T_59cc2_row0_col5" class="data row0 col5" ><span>0.84 [0.82, 0.85]</span></td>
          <td id="T_59cc2_row0_col6" class="data row0 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_59cc2_row0_col7" class="data row0 col7" ><span>12.26 [10.27, 14.25]</span></td>
          <td id="T_59cc2_row0_col8" class="data row0 col8" ><span>2.92 [-11.31, 17.15]</span></td>
          <td id="T_59cc2_row0_col9" class="data row0 col9" ><span>3.51 [2.60, 4.42]</span></td>
          <td id="T_59cc2_row0_col10" class="data row0 col10" ><span>31.56 [26.73, 36.38]</span></td>
          <td id="T_59cc2_row0_col11" class="data row0 col11" ><span>0.82 [0.74, 0.88]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row1" class="row_heading level2 row1" >Original Implementation</th>
          <td id="T_59cc2_row1_col0" class="data row1 col0" >227</td>
          <td id="T_59cc2_row1_col1" class="data row1 col1" ><span>0.77 [0.72, 0.82]</span></td>
          <td id="T_59cc2_row1_col2" class="data row1 col2" ><span>0.64 [0.59, 0.68]</span></td>
          <td id="T_59cc2_row1_col3" class="data row1 col3" ><span>0.69 [0.64, 0.73]</span></td>
          <td id="T_59cc2_row1_col4" class="data row1 col4" ><span>0.88 [0.87, 0.89]</span></td>
          <td id="T_59cc2_row1_col5" class="data row1 col5" ><span>0.85 [0.84, 0.87]</span></td>
          <td id="T_59cc2_row1_col6" class="data row1 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_59cc2_row1_col7" class="data row1 col7" ><span>11.20 [9.53, 12.87]</span></td>
          <td id="T_59cc2_row1_col8" class="data row1 col8" ><span>1.86 [-8.25, 11.97]</span></td>
          <td id="T_59cc2_row1_col9" class="data row1 col9" ><span>2.71 [2.09, 3.33]</span></td>
          <td id="T_59cc2_row1_col10" class="data row1 col10" ><span>32.85 [27.62, 38.08]</span></td>
          <td id="T_59cc2_row1_col11" class="data row1 col11" ><span>0.89 [0.84, 0.92]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level1_row2" class="row_heading level1 row2" rowspan="3">GsdIluz</th>
          <th id="T_59cc2_level2_row2" class="row_heading level2 row2" >MobGap</th>
          <td id="T_59cc2_row2_col0" class="data row2 col0" >227</td>
          <td id="T_59cc2_row2_col1" class="data row2 col1" ><span>0.80 [0.75, 0.85]</span><sup>**</sup></td>
          <td id="T_59cc2_row2_col2" class="data row2 col2" ><span>0.53 [0.49, 0.56]</span></td>
          <td id="T_59cc2_row2_col3" class="data row2 col3" ><span>0.63 [0.59, 0.67]</span></td>
          <td id="T_59cc2_row2_col4" class="data row2 col4" ><span>0.75 [0.73, 0.77]</span><sup>**</sup></td>
          <td id="T_59cc2_row2_col5" class="data row2 col5" ><span>0.61 [0.59, 0.64]</span><sup>**</sup></td>
          <td id="T_59cc2_row2_col6" class="data row2 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_59cc2_row2_col7" class="data row2 col7" ><span>13.53 [11.94, 15.11]</span></td>
          <td id="T_59cc2_row2_col8" class="data row2 col8" ><span>4.19 [-5.35, 13.73]</span></td>
          <td id="T_59cc2_row2_col9" class="data row2 col9" ><span>4.50 [3.90, 5.10]</span></td>
          <td id="T_59cc2_row2_col10" class="data row2 col10" ><span>60.68 [55.08, 66.28]</span><sup>**</sup></td>
          <td id="T_59cc2_row2_col11" class="data row2 col11" ><span>0.85 [0.48, 0.93]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row3" class="row_heading level2 row3" >MobGap (original peak)</th>
          <td id="T_59cc2_row3_col0" class="data row3 col0" >227</td>
          <td id="T_59cc2_row3_col1" class="data row3 col1" ><span>0.71 [0.65, 0.76]</span></td>
          <td id="T_59cc2_row3_col2" class="data row3 col2" ><span>0.55 [0.51, 0.60]</span></td>
          <td id="T_59cc2_row3_col3" class="data row3 col3" ><span>0.61 [0.56, 0.65]</span></td>
          <td id="T_59cc2_row3_col4" class="data row3 col4" ><span>0.83 [0.81, 0.84]</span></td>
          <td id="T_59cc2_row3_col5" class="data row3 col5" ><span>0.77 [0.74, 0.79]</span></td>
          <td id="T_59cc2_row3_col6" class="data row3 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_59cc2_row3_col7" class="data row3 col7" ><span>9.54 [8.60, 10.48]</span></td>
          <td id="T_59cc2_row3_col8" class="data row3 col8" ><span>0.20 [-12.55, 12.96]</span></td>
          <td id="T_59cc2_row3_col9" class="data row3 col9" ><span>3.82 [3.14, 4.51]</span></td>
          <td id="T_59cc2_row3_col10" class="data row3 col10" ><span>48.22 [43.50, 52.95]</span></td>
          <td id="T_59cc2_row3_col11" class="data row3 col11" ><span>0.73 [0.66, 0.79]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row4" class="row_heading level2 row4" >Original Implementation</th>
          <td id="T_59cc2_row4_col0" class="data row4 col0" >227</td>
          <td id="T_59cc2_row4_col1" class="data row4 col1" ><span>0.69 [0.64, 0.75]</span></td>
          <td id="T_59cc2_row4_col2" class="data row4 col2" ><span>0.53 [0.49, 0.57]</span></td>
          <td id="T_59cc2_row4_col3" class="data row4 col3" ><span>0.59 [0.55, 0.64]</span></td>
          <td id="T_59cc2_row4_col4" class="data row4 col4" ><span>0.84 [0.82, 0.85]</span></td>
          <td id="T_59cc2_row4_col5" class="data row4 col5" ><span>0.78 [0.76, 0.81]</span></td>
          <td id="T_59cc2_row4_col6" class="data row4 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_59cc2_row4_col7" class="data row4 col7" ><span>10.93 [9.45, 12.41]</span></td>
          <td id="T_59cc2_row4_col8" class="data row4 col8" ><span>1.59 [-6.00, 9.19]</span></td>
          <td id="T_59cc2_row4_col9" class="data row4 col9" ><span>2.71 [2.30, 3.13]</span></td>
          <td id="T_59cc2_row4_col10" class="data row4 col10" ><span>45.40 [40.48, 50.32]</span></td>
          <td id="T_59cc2_row4_col11" class="data row4 col11" ><span>0.93 [0.88, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level1_row5" class="row_heading level1 row5" rowspan="2">GsdIonescu</th>
          <th id="T_59cc2_level2_row5" class="row_heading level2 row5" >MobGap</th>
          <td id="T_59cc2_row5_col0" class="data row5 col0" >227</td>
          <td id="T_59cc2_row5_col1" class="data row5 col1" ><span>0.82 [0.77, 0.86]</span></td>
          <td id="T_59cc2_row5_col2" class="data row5 col2" ><span>0.61 [0.57, 0.65]</span></td>
          <td id="T_59cc2_row5_col3" class="data row5 col3" ><span>0.69 [0.65, 0.74]</span></td>
          <td id="T_59cc2_row5_col4" class="data row5 col4" ><span>0.83 [0.82, 0.84]</span></td>
          <td id="T_59cc2_row5_col5" class="data row5 col5" ><span>0.75 [0.73, 0.77]</span></td>
          <td id="T_59cc2_row5_col6" class="data row5 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_59cc2_row5_col7" class="data row5 col7" ><span>12.64 [11.02, 14.27]</span></td>
          <td id="T_59cc2_row5_col8" class="data row5 col8" ><span>3.31 [-4.64, 11.26]</span></td>
          <td id="T_59cc2_row5_col9" class="data row5 col9" ><span>3.43 [2.91, 3.94]</span></td>
          <td id="T_59cc2_row5_col10" class="data row5 col10" ><span>38.94 [35.03, 42.85]</span></td>
          <td id="T_59cc2_row5_col11" class="data row5 col11" ><span>0.90 [0.64, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row6" class="row_heading level2 row6" >Original Implementation</th>
          <td id="T_59cc2_row6_col0" class="data row6 col0" >227</td>
          <td id="T_59cc2_row6_col1" class="data row6 col1" ><span>0.81 [0.77, 0.86]</span></td>
          <td id="T_59cc2_row6_col2" class="data row6 col2" ><span>0.62 [0.58, 0.65]</span></td>
          <td id="T_59cc2_row6_col3" class="data row6 col3" ><span>0.70 [0.65, 0.74]</span></td>
          <td id="T_59cc2_row6_col4" class="data row6 col4" ><span>0.83 [0.82, 0.85]</span></td>
          <td id="T_59cc2_row6_col5" class="data row6 col5" ><span>0.75 [0.73, 0.77]</span></td>
          <td id="T_59cc2_row6_col6" class="data row6 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_59cc2_row6_col7" class="data row6 col7" ><span>12.20 [10.75, 13.65]</span></td>
          <td id="T_59cc2_row6_col8" class="data row6 col8" ><span>2.86 [-2.95, 8.67]</span></td>
          <td id="T_59cc2_row6_col9" class="data row6 col9" ><span>3.02 [2.65, 3.38]</span></td>
          <td id="T_59cc2_row6_col10" class="data row6 col10" ><span>36.93 [33.25, 40.61]</span></td>
          <td id="T_59cc2_row6_col11" class="data row6 col11" ><span>0.93 [0.62, 0.97]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level0_row7" class="row_heading level0 row7" rowspan="7">CHF</th>
          <th id="T_59cc2_level1_row7" class="row_heading level1 row7" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_59cc2_level2_row7" class="row_heading level2 row7" >MobGap</th>
          <td id="T_59cc2_row7_col0" class="data row7 col0" >106</td>
          <td id="T_59cc2_row7_col1" class="data row7 col1" ><span>0.82 [0.76, 0.88]</span></td>
          <td id="T_59cc2_row7_col2" class="data row7 col2" ><span>0.73 [0.67, 0.79]</span></td>
          <td id="T_59cc2_row7_col3" class="data row7 col3" ><span>0.76 [0.71, 0.82]</span></td>
          <td id="T_59cc2_row7_col4" class="data row7 col4" ><span>0.84 [0.82, 0.87]</span></td>
          <td id="T_59cc2_row7_col5" class="data row7 col5" ><span>0.83 [0.80, 0.86]</span></td>
          <td id="T_59cc2_row7_col6" class="data row7 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_59cc2_row7_col7" class="data row7 col7" ><span>12.88 [10.10, 15.66]</span></td>
          <td id="T_59cc2_row7_col8" class="data row7 col8" ><span>1.20 [-8.87, 11.27]</span></td>
          <td id="T_59cc2_row7_col9" class="data row7 col9" ><span>2.88 [2.04, 3.72]</span></td>
          <td id="T_59cc2_row7_col10" class="data row7 col10" ><span>26.68 [21.64, 31.73]</span></td>
          <td id="T_59cc2_row7_col11" class="data row7 col11" ><span>0.93 [0.89, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row8" class="row_heading level2 row8" >Original Implementation</th>
          <td id="T_59cc2_row8_col0" class="data row8 col0" >106</td>
          <td id="T_59cc2_row8_col1" class="data row8 col1" ><span>0.78 [0.71, 0.84]</span></td>
          <td id="T_59cc2_row8_col2" class="data row8 col2" ><span>0.71 [0.65, 0.77]</span></td>
          <td id="T_59cc2_row8_col3" class="data row8 col3" ><span>0.73 [0.67, 0.79]</span></td>
          <td id="T_59cc2_row8_col4" class="data row8 col4" ><span>0.85 [0.83, 0.88]</span></td>
          <td id="T_59cc2_row8_col5" class="data row8 col5" ><span>0.85 [0.82, 0.88]</span></td>
          <td id="T_59cc2_row8_col6" class="data row8 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_59cc2_row8_col7" class="data row8 col7" ><span>11.74 [9.20, 14.28]</span></td>
          <td id="T_59cc2_row8_col8" class="data row8 col8" ><span>0.06 [-11.59, 11.70]</span></td>
          <td id="T_59cc2_row8_col9" class="data row8 col9" ><span>3.21 [2.26, 4.16]</span></td>
          <td id="T_59cc2_row8_col10" class="data row8 col10" ><span>30.60 [25.05, 36.14]</span></td>
          <td id="T_59cc2_row8_col11" class="data row8 col11" ><span>0.90 [0.86, 0.93]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level1_row9" class="row_heading level1 row9" rowspan="3">GsdIluz</th>
          <th id="T_59cc2_level2_row9" class="row_heading level2 row9" >MobGap</th>
          <td id="T_59cc2_row9_col0" class="data row9 col0" >106</td>
          <td id="T_59cc2_row9_col1" class="data row9 col1" ><span>0.90 [0.85, 0.95]</span><sup>**</sup></td>
          <td id="T_59cc2_row9_col2" class="data row9 col2" ><span>0.61 [0.57, 0.66]</span></td>
          <td id="T_59cc2_row9_col3" class="data row9 col3" ><span>0.72 [0.67, 0.76]</span></td>
          <td id="T_59cc2_row9_col4" class="data row9 col4" ><span>0.72 [0.68, 0.76]</span><sup>**</sup></td>
          <td id="T_59cc2_row9_col5" class="data row9 col5" ><span>0.53 [0.48, 0.57]</span><sup>**</sup></td>
          <td id="T_59cc2_row9_col6" class="data row9 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_59cc2_row9_col7" class="data row9 col7" ><span>16.02 [13.29, 18.75]</span></td>
          <td id="T_59cc2_row9_col8" class="data row9 col8" ><span>4.33 [-4.51, 13.18]</span></td>
          <td id="T_59cc2_row9_col9" class="data row9 col9" ><span>4.61 [3.81, 5.42]</span></td>
          <td id="T_59cc2_row9_col10" class="data row9 col10" ><span>58.82 [49.28, 68.37]</span></td>
          <td id="T_59cc2_row9_col11" class="data row9 col11" ><span>0.90 [0.52, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row10" class="row_heading level2 row10" >MobGap (original peak)</th>
          <td id="T_59cc2_row10_col0" class="data row10 col0" >106</td>
          <td id="T_59cc2_row10_col1" class="data row10 col1" ><span>0.78 [0.71, 0.86]</span></td>
          <td id="T_59cc2_row10_col2" class="data row10 col2" ><span>0.62 [0.56, 0.68]</span></td>
          <td id="T_59cc2_row10_col3" class="data row10 col3" ><span>0.67 [0.61, 0.73]</span></td>
          <td id="T_59cc2_row10_col4" class="data row10 col4" ><span>0.77 [0.73, 0.80]</span></td>
          <td id="T_59cc2_row10_col5" class="data row10 col5" ><span>0.70 [0.65, 0.74]</span></td>
          <td id="T_59cc2_row10_col6" class="data row10 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_59cc2_row10_col7" class="data row10 col7" ><span>11.24 [9.59, 12.89]</span></td>
          <td id="T_59cc2_row10_col8" class="data row10 col8" ><span>-0.44 [-18.32, 17.45]</span></td>
          <td id="T_59cc2_row10_col9" class="data row10 col9" ><span>4.93 [3.46, 6.39]</span></td>
          <td id="T_59cc2_row10_col10" class="data row10 col10" ><span>49.91 [41.96, 57.86]</span></td>
          <td id="T_59cc2_row10_col11" class="data row10 col11" ><span>0.66 [0.54, 0.76]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row11" class="row_heading level2 row11" >Original Implementation</th>
          <td id="T_59cc2_row11_col0" class="data row11 col0" >106</td>
          <td id="T_59cc2_row11_col1" class="data row11 col1" ><span>0.76 [0.69, 0.84]</span></td>
          <td id="T_59cc2_row11_col2" class="data row11 col2" ><span>0.60 [0.53, 0.66]</span></td>
          <td id="T_59cc2_row11_col3" class="data row11 col3" ><span>0.66 [0.59, 0.72]</span></td>
          <td id="T_59cc2_row11_col4" class="data row11 col4" ><span>0.79 [0.76, 0.82]</span></td>
          <td id="T_59cc2_row11_col5" class="data row11 col5" ><span>0.71 [0.67, 0.75]</span></td>
          <td id="T_59cc2_row11_col6" class="data row11 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_59cc2_row11_col7" class="data row11 col7" ><span>12.97 [10.41, 15.53]</span></td>
          <td id="T_59cc2_row11_col8" class="data row11 col8" ><span>1.29 [-7.91, 10.49]</span></td>
          <td id="T_59cc2_row11_col9" class="data row11 col9" ><span>3.40 [2.74, 4.06]</span></td>
          <td id="T_59cc2_row11_col10" class="data row11 col10" ><span>46.68 [39.14, 54.21]</span></td>
          <td id="T_59cc2_row11_col11" class="data row11 col11" ><span>0.93 [0.90, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level1_row12" class="row_heading level1 row12" rowspan="2">GsdIonescu</th>
          <th id="T_59cc2_level2_row12" class="row_heading level2 row12" >MobGap</th>
          <td id="T_59cc2_row12_col0" class="data row12 col0" >106</td>
          <td id="T_59cc2_row12_col1" class="data row12 col1" ><span>0.90 [0.84, 0.95]</span></td>
          <td id="T_59cc2_row12_col2" class="data row12 col2" ><span>0.69 [0.64, 0.73]</span></td>
          <td id="T_59cc2_row12_col3" class="data row12 col3" ><span>0.77 [0.72, 0.82]</span></td>
          <td id="T_59cc2_row12_col4" class="data row12 col4" ><span>0.82 [0.80, 0.84]</span></td>
          <td id="T_59cc2_row12_col5" class="data row12 col5" ><span>0.70 [0.67, 0.73]</span></td>
          <td id="T_59cc2_row12_col6" class="data row12 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_59cc2_row12_col7" class="data row12 col7" ><span>14.34 [11.74, 16.94]</span></td>
          <td id="T_59cc2_row12_col8" class="data row12 col8" ><span>2.65 [-3.01, 8.32]</span></td>
          <td id="T_59cc2_row12_col9" class="data row12 col9" ><span>3.00 [2.52, 3.48]</span></td>
          <td id="T_59cc2_row12_col10" class="data row12 col10" ><span>35.76 [31.02, 40.51]</span></td>
          <td id="T_59cc2_row12_col11" class="data row12 col11" ><span>0.96 [0.77, 0.98]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row13" class="row_heading level2 row13" >Original Implementation</th>
          <td id="T_59cc2_row13_col0" class="data row13 col0" >106</td>
          <td id="T_59cc2_row13_col1" class="data row13 col1" ><span>0.89 [0.84, 0.94]</span></td>
          <td id="T_59cc2_row13_col2" class="data row13 col2" ><span>0.69 [0.64, 0.73]</span></td>
          <td id="T_59cc2_row13_col3" class="data row13 col3" ><span>0.77 [0.72, 0.82]</span></td>
          <td id="T_59cc2_row13_col4" class="data row13 col4" ><span>0.82 [0.80, 0.84]</span></td>
          <td id="T_59cc2_row13_col5" class="data row13 col5" ><span>0.70 [0.67, 0.73]</span></td>
          <td id="T_59cc2_row13_col6" class="data row13 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_59cc2_row13_col7" class="data row13 col7" ><span>13.93 [11.57, 16.29]</span></td>
          <td id="T_59cc2_row13_col8" class="data row13 col8" ><span>2.25 [-4.95, 9.44]</span></td>
          <td id="T_59cc2_row13_col9" class="data row13 col9" ><span>3.11 [2.54, 3.67]</span></td>
          <td id="T_59cc2_row13_col10" class="data row13 col10" ><span>35.79 [31.09, 40.50]</span></td>
          <td id="T_59cc2_row13_col11" class="data row13 col11" ><span>0.94 [0.86, 0.97]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level0_row14" class="row_heading level0 row14" rowspan="7">COPD</th>
          <th id="T_59cc2_level1_row14" class="row_heading level1 row14" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_59cc2_level2_row14" class="row_heading level2 row14" >MobGap</th>
          <td id="T_59cc2_row14_col0" class="data row14 col0" >214</td>
          <td id="T_59cc2_row14_col1" class="data row14 col1" ><span>0.75 [0.70, 0.81]</span></td>
          <td id="T_59cc2_row14_col2" class="data row14 col2" ><span>0.65 [0.60, 0.70]</span></td>
          <td id="T_59cc2_row14_col3" class="data row14 col3" ><span>0.69 [0.64, 0.74]</span></td>
          <td id="T_59cc2_row14_col4" class="data row14 col4" ><span>0.90 [0.88, 0.91]</span></td>
          <td id="T_59cc2_row14_col5" class="data row14 col5" ><span>0.89 [0.88, 0.91]</span></td>
          <td id="T_59cc2_row14_col6" class="data row14 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_59cc2_row14_col7" class="data row14 col7" ><span>13.44 [11.34, 15.55]</span></td>
          <td id="T_59cc2_row14_col8" class="data row14 col8" ><span>2.59 [-13.40, 18.57]</span></td>
          <td id="T_59cc2_row14_col9" class="data row14 col9" ><span>3.39 [2.34, 4.44]</span></td>
          <td id="T_59cc2_row14_col10" class="data row14 col10" ><span>33.24 [24.81, 41.66]</span></td>
          <td id="T_59cc2_row14_col11" class="data row14 col11" ><span>0.81 [0.73, 0.86]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row15" class="row_heading level2 row15" >Original Implementation</th>
          <td id="T_59cc2_row15_col0" class="data row15 col0" >214</td>
          <td id="T_59cc2_row15_col1" class="data row15 col1" ><span>0.78 [0.73, 0.83]</span></td>
          <td id="T_59cc2_row15_col2" class="data row15 col2" ><span>0.68 [0.63, 0.73]</span></td>
          <td id="T_59cc2_row15_col3" class="data row15 col3" ><span>0.71 [0.67, 0.76]</span></td>
          <td id="T_59cc2_row15_col4" class="data row15 col4" ><span>0.90 [0.88, 0.91]</span></td>
          <td id="T_59cc2_row15_col5" class="data row15 col5" ><span>0.89 [0.88, 0.91]</span></td>
          <td id="T_59cc2_row15_col6" class="data row15 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_59cc2_row15_col7" class="data row15 col7" ><span>13.04 [11.12, 14.97]</span></td>
          <td id="T_59cc2_row15_col8" class="data row15 col8" ><span>2.19 [-11.35, 15.73]</span></td>
          <td id="T_59cc2_row15_col9" class="data row15 col9" ><span>3.02 [2.14, 3.90]</span></td>
          <td id="T_59cc2_row15_col10" class="data row15 col10" ><span>28.96 [21.31, 36.62]</span></td>
          <td id="T_59cc2_row15_col11" class="data row15 col11" ><span>0.84 [0.78, 0.89]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level1_row16" class="row_heading level1 row16" rowspan="3">GsdIluz</th>
          <th id="T_59cc2_level2_row16" class="row_heading level2 row16" >MobGap</th>
          <td id="T_59cc2_row16_col0" class="data row16 col0" >214</td>
          <td id="T_59cc2_row16_col1" class="data row16 col1" ><span>0.79 [0.73, 0.84]</span><sup>**</sup></td>
          <td id="T_59cc2_row16_col2" class="data row16 col2" ><span>0.54 [0.50, 0.58]</span></td>
          <td id="T_59cc2_row16_col3" class="data row16 col3" ><span>0.63 [0.58, 0.67]</span></td>
          <td id="T_59cc2_row16_col4" class="data row16 col4" ><span>0.78 [0.76, 0.80]</span><sup>**</sup></td>
          <td id="T_59cc2_row16_col5" class="data row16 col5" ><span>0.69 [0.67, 0.71]</span><sup>**</sup></td>
          <td id="T_59cc2_row16_col6" class="data row16 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_59cc2_row16_col7" class="data row16 col7" ><span>14.89 [13.32, 16.45]</span></td>
          <td id="T_59cc2_row16_col8" class="data row16 col8" ><span>4.03 [-4.30, 12.37]</span></td>
          <td id="T_59cc2_row16_col9" class="data row16 col9" ><span>4.52 [4.02, 5.02]</span></td>
          <td id="T_59cc2_row16_col10" class="data row16 col10" ><span>59.31 [52.47, 66.14]</span><sup>**</sup></td>
          <td id="T_59cc2_row16_col11" class="data row16 col11" ><span>0.88 [0.47, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row17" class="row_heading level2 row17" >MobGap (original peak)</th>
          <td id="T_59cc2_row17_col0" class="data row17 col0" >214</td>
          <td id="T_59cc2_row17_col1" class="data row17 col1" ><span>0.66 [0.59, 0.72]</span></td>
          <td id="T_59cc2_row17_col2" class="data row17 col2" ><span>0.55 [0.50, 0.60]</span></td>
          <td id="T_59cc2_row17_col3" class="data row17 col3" ><span>0.58 [0.53, 0.63]</span></td>
          <td id="T_59cc2_row17_col4" class="data row17 col4" ><span>0.86 [0.85, 0.88]</span></td>
          <td id="T_59cc2_row17_col5" class="data row17 col5" ><span>0.85 [0.83, 0.87]</span></td>
          <td id="T_59cc2_row17_col6" class="data row17 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_59cc2_row17_col7" class="data row17 col7" ><span>10.47 [9.30, 11.63]</span></td>
          <td id="T_59cc2_row17_col8" class="data row17 col8" ><span>-0.39 [-14.05, 13.28]</span></td>
          <td id="T_59cc2_row17_col9" class="data row17 col9" ><span>3.78 [2.99, 4.56]</span></td>
          <td id="T_59cc2_row17_col10" class="data row17 col10" ><span>45.54 [40.19, 50.89]</span></td>
          <td id="T_59cc2_row17_col11" class="data row17 col11" ><span>0.76 [0.69, 0.81]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row18" class="row_heading level2 row18" >Original Implementation</th>
          <td id="T_59cc2_row18_col0" class="data row18 col0" >214</td>
          <td id="T_59cc2_row18_col1" class="data row18 col1" ><span>0.66 [0.60, 0.72]</span></td>
          <td id="T_59cc2_row18_col2" class="data row18 col2" ><span>0.53 [0.48, 0.58]</span></td>
          <td id="T_59cc2_row18_col3" class="data row18 col3" ><span>0.58 [0.53, 0.64]</span></td>
          <td id="T_59cc2_row18_col4" class="data row18 col4" ><span>0.87 [0.86, 0.88]</span></td>
          <td id="T_59cc2_row18_col5" class="data row18 col5" ><span>0.85 [0.83, 0.87]</span></td>
          <td id="T_59cc2_row18_col6" class="data row18 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_59cc2_row18_col7" class="data row18 col7" ><span>12.18 [10.58, 13.78]</span></td>
          <td id="T_59cc2_row18_col8" class="data row18 col8" ><span>1.33 [-6.72, 9.38]</span></td>
          <td id="T_59cc2_row18_col9" class="data row18 col9" ><span>2.78 [2.34, 3.22]</span></td>
          <td id="T_59cc2_row18_col10" class="data row18 col10" ><span>42.60 [37.14, 48.05]</span></td>
          <td id="T_59cc2_row18_col11" class="data row18 col11" ><span>0.93 [0.90, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level1_row19" class="row_heading level1 row19" rowspan="2">GsdIonescu</th>
          <th id="T_59cc2_level2_row19" class="row_heading level2 row19" >MobGap</th>
          <td id="T_59cc2_row19_col0" class="data row19 col0" >214</td>
          <td id="T_59cc2_row19_col1" class="data row19 col1" ><span>0.83 [0.78, 0.87]</span></td>
          <td id="T_59cc2_row19_col2" class="data row19 col2" ><span>0.62 [0.58, 0.66]</span></td>
          <td id="T_59cc2_row19_col3" class="data row19 col3" ><span>0.70 [0.66, 0.75]</span></td>
          <td id="T_59cc2_row19_col4" class="data row19 col4" ><span>0.85 [0.84, 0.87]</span></td>
          <td id="T_59cc2_row19_col5" class="data row19 col5" ><span>0.79 [0.77, 0.80]</span></td>
          <td id="T_59cc2_row19_col6" class="data row19 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_59cc2_row19_col7" class="data row19 col7" ><span>14.20 [12.52, 15.88]</span></td>
          <td id="T_59cc2_row19_col8" class="data row19 col8" ><span>3.34 [-4.85, 11.54]</span></td>
          <td id="T_59cc2_row19_col9" class="data row19 col9" ><span>3.52 [2.98, 4.06]</span></td>
          <td id="T_59cc2_row19_col10" class="data row19 col10" ><span>37.80 [33.73, 41.86]</span></td>
          <td id="T_59cc2_row19_col11" class="data row19 col11" ><span>0.90 [0.66, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row20" class="row_heading level2 row20" >Original Implementation</th>
          <td id="T_59cc2_row20_col0" class="data row20 col0" >214</td>
          <td id="T_59cc2_row20_col1" class="data row20 col1" ><span>0.82 [0.77, 0.87]</span></td>
          <td id="T_59cc2_row20_col2" class="data row20 col2" ><span>0.63 [0.58, 0.67]</span></td>
          <td id="T_59cc2_row20_col3" class="data row20 col3" ><span>0.70 [0.66, 0.75]</span></td>
          <td id="T_59cc2_row20_col4" class="data row20 col4" ><span>0.85 [0.84, 0.87]</span></td>
          <td id="T_59cc2_row20_col5" class="data row20 col5" ><span>0.79 [0.77, 0.80]</span></td>
          <td id="T_59cc2_row20_col6" class="data row20 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_59cc2_row20_col7" class="data row20 col7" ><span>14.01 [12.41, 15.61]</span></td>
          <td id="T_59cc2_row20_col8" class="data row20 col8" ><span>3.16 [-4.84, 11.15]</span></td>
          <td id="T_59cc2_row20_col9" class="data row20 col9" ><span>3.44 [2.92, 3.95]</span></td>
          <td id="T_59cc2_row20_col10" class="data row20 col10" ><span>38.17 [33.66, 42.68]</span></td>
          <td id="T_59cc2_row20_col11" class="data row20 col11" ><span>0.90 [0.68, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level0_row21" class="row_heading level0 row21" rowspan="7">MS</th>
          <th id="T_59cc2_level1_row21" class="row_heading level1 row21" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_59cc2_level2_row21" class="row_heading level2 row21" >MobGap</th>
          <td id="T_59cc2_row21_col0" class="data row21 col0" >228</td>
          <td id="T_59cc2_row21_col1" class="data row21 col1" ><span>0.87 [0.83, 0.90]</span></td>
          <td id="T_59cc2_row21_col2" class="data row21 col2" ><span>0.79 [0.76, 0.82]</span></td>
          <td id="T_59cc2_row21_col3" class="data row21 col3" ><span>0.81 [0.78, 0.84]</span></td>
          <td id="T_59cc2_row21_col4" class="data row21 col4" ><span>0.86 [0.84, 0.88]</span></td>
          <td id="T_59cc2_row21_col5" class="data row21 col5" ><span>0.85 [0.83, 0.87]</span></td>
          <td id="T_59cc2_row21_col6" class="data row21 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_59cc2_row21_col7" class="data row21 col7" ><span>14.76 [12.53, 16.99]</span></td>
          <td id="T_59cc2_row21_col8" class="data row21 col8" ><span>1.91 [-17.00, 20.82]</span></td>
          <td id="T_59cc2_row21_col9" class="data row21 col9" ><span>3.89 [2.72, 5.06]</span></td>
          <td id="T_59cc2_row21_col10" class="data row21 col10" ><span>27.31 [22.62, 32.01]</span></td>
          <td id="T_59cc2_row21_col11" class="data row21 col11" ><span>0.78 [0.72, 0.83]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row22" class="row_heading level2 row22" >Original Implementation</th>
          <td id="T_59cc2_row22_col0" class="data row22 col0" >228</td>
          <td id="T_59cc2_row22_col1" class="data row22 col1" ><span>0.86 [0.83, 0.89]</span></td>
          <td id="T_59cc2_row22_col2" class="data row22 col2" ><span>0.77 [0.74, 0.81]</span></td>
          <td id="T_59cc2_row22_col3" class="data row22 col3" ><span>0.80 [0.77, 0.83]</span></td>
          <td id="T_59cc2_row22_col4" class="data row22 col4" ><span>0.86 [0.84, 0.87]</span></td>
          <td id="T_59cc2_row22_col5" class="data row22 col5" ><span>0.84 [0.82, 0.86]</span></td>
          <td id="T_59cc2_row22_col6" class="data row22 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_59cc2_row22_col7" class="data row22 col7" ><span>14.30 [12.31, 16.29]</span></td>
          <td id="T_59cc2_row22_col8" class="data row22 col8" ><span>1.45 [-14.66, 17.55]</span></td>
          <td id="T_59cc2_row22_col9" class="data row22 col9" ><span>3.71 [2.74, 4.68]</span></td>
          <td id="T_59cc2_row22_col10" class="data row22 col10" ><span>28.57 [23.99, 33.16]</span></td>
          <td id="T_59cc2_row22_col11" class="data row22 col11" ><span>0.81 [0.76, 0.85]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level1_row23" class="row_heading level1 row23" rowspan="3">GsdIluz</th>
          <th id="T_59cc2_level2_row23" class="row_heading level2 row23" >MobGap</th>
          <td id="T_59cc2_row23_col0" class="data row23 col0" >228</td>
          <td id="T_59cc2_row23_col1" class="data row23 col1" ><span>0.95 [0.92, 0.97]</span><sup>**</sup></td>
          <td id="T_59cc2_row23_col2" class="data row23 col2" ><span>0.64 [0.62, 0.67]</span></td>
          <td id="T_59cc2_row23_col3" class="data row23 col3" ><span>0.75 [0.73, 0.78]</span></td>
          <td id="T_59cc2_row23_col4" class="data row23 col4" ><span>0.76 [0.74, 0.77]</span><sup>**</sup></td>
          <td id="T_59cc2_row23_col5" class="data row23 col5" ><span>0.54 [0.52, 0.57]</span><sup>**</sup></td>
          <td id="T_59cc2_row23_col6" class="data row23 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_59cc2_row23_col7" class="data row23 col7" ><span>18.26 [16.11, 20.41]</span></td>
          <td id="T_59cc2_row23_col8" class="data row23 col8" ><span>5.40 [-10.45, 21.25]</span></td>
          <td id="T_59cc2_row23_col9" class="data row23 col9" ><span>5.59 [4.56, 6.63]</span></td>
          <td id="T_59cc2_row23_col10" class="data row23 col10" ><span>57.94 [52.34, 63.54]</span><sup>**</sup></td>
          <td id="T_59cc2_row23_col11" class="data row23 col11" ><span>0.79 [0.53, 0.88]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row24" class="row_heading level2 row24" >MobGap (original peak)</th>
          <td id="T_59cc2_row24_col0" class="data row24 col0" >228</td>
          <td id="T_59cc2_row24_col1" class="data row24 col1" ><span>0.86 [0.82, 0.90]</span></td>
          <td id="T_59cc2_row24_col2" class="data row24 col2" ><span>0.70 [0.66, 0.73]</span></td>
          <td id="T_59cc2_row24_col3" class="data row24 col3" ><span>0.75 [0.72, 0.79]</span></td>
          <td id="T_59cc2_row24_col4" class="data row24 col4" ><span>0.81 [0.79, 0.83]</span></td>
          <td id="T_59cc2_row24_col5" class="data row24 col5" ><span>0.73 [0.70, 0.75]</span></td>
          <td id="T_59cc2_row24_col6" class="data row24 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_59cc2_row24_col7" class="data row24 col7" ><span>13.39 [12.07, 14.72]</span></td>
          <td id="T_59cc2_row24_col8" class="data row24 col8" ><span>0.54 [-13.52, 14.60]</span></td>
          <td id="T_59cc2_row24_col9" class="data row24 col9" ><span>4.10 [3.33, 4.87]</span></td>
          <td id="T_59cc2_row24_col10" class="data row24 col10" ><span>42.59 [37.75, 47.43]</span></td>
          <td id="T_59cc2_row24_col11" class="data row24 col11" ><span>0.79 [0.73, 0.83]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row25" class="row_heading level2 row25" >Original Implementation</th>
          <td id="T_59cc2_row25_col0" class="data row25 col0" >228</td>
          <td id="T_59cc2_row25_col1" class="data row25 col1" ><span>0.86 [0.82, 0.90]</span></td>
          <td id="T_59cc2_row25_col2" class="data row25 col2" ><span>0.66 [0.62, 0.70]</span></td>
          <td id="T_59cc2_row25_col3" class="data row25 col3" ><span>0.74 [0.70, 0.77]</span></td>
          <td id="T_59cc2_row25_col4" class="data row25 col4" ><span>0.81 [0.80, 0.83]</span></td>
          <td id="T_59cc2_row25_col5" class="data row25 col5" ><span>0.72 [0.69, 0.74]</span></td>
          <td id="T_59cc2_row25_col6" class="data row25 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_59cc2_row25_col7" class="data row25 col7" ><span>15.28 [13.40, 17.15]</span></td>
          <td id="T_59cc2_row25_col8" class="data row25 col8" ><span>2.42 [-11.07, 15.91]</span></td>
          <td id="T_59cc2_row25_col9" class="data row25 col9" ><span>4.04 [3.25, 4.83]</span></td>
          <td id="T_59cc2_row25_col10" class="data row25 col10" ><span>43.82 [38.94, 48.69]</span></td>
          <td id="T_59cc2_row25_col11" class="data row25 col11" ><span>0.85 [0.78, 0.89]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level1_row26" class="row_heading level1 row26" rowspan="2">GsdIonescu</th>
          <th id="T_59cc2_level2_row26" class="row_heading level2 row26" >MobGap</th>
          <td id="T_59cc2_row26_col0" class="data row26 col0" >228</td>
          <td id="T_59cc2_row26_col1" class="data row26 col1" ><span>0.94 [0.91, 0.96]</span></td>
          <td id="T_59cc2_row26_col2" class="data row26 col2" ><span>0.72 [0.70, 0.75]</span></td>
          <td id="T_59cc2_row26_col3" class="data row26 col3" ><span>0.81 [0.78, 0.83]</span></td>
          <td id="T_59cc2_row26_col4" class="data row26 col4" ><span>0.83 [0.82, 0.85]</span></td>
          <td id="T_59cc2_row26_col5" class="data row26 col5" ><span>0.72 [0.70, 0.74]</span></td>
          <td id="T_59cc2_row26_col6" class="data row26 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_59cc2_row26_col7" class="data row26 col7" ><span>15.92 [14.06, 17.78]</span></td>
          <td id="T_59cc2_row26_col8" class="data row26 col8" ><span>3.07 [-9.41, 15.55]</span></td>
          <td id="T_59cc2_row26_col9" class="data row26 col9" ><span>3.87 [3.10, 4.64]</span></td>
          <td id="T_59cc2_row26_col10" class="data row26 col10" ><span>37.62 [33.46, 41.77]</span></td>
          <td id="T_59cc2_row26_col11" class="data row26 col11" ><span>0.86 [0.75, 0.91]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row27" class="row_heading level2 row27" >Original Implementation</th>
          <td id="T_59cc2_row27_col0" class="data row27 col0" >228</td>
          <td id="T_59cc2_row27_col1" class="data row27 col1" ><span>0.93 [0.90, 0.96]</span></td>
          <td id="T_59cc2_row27_col2" class="data row27 col2" ><span>0.72 [0.70, 0.75]</span></td>
          <td id="T_59cc2_row27_col3" class="data row27 col3" ><span>0.80 [0.78, 0.83]</span></td>
          <td id="T_59cc2_row27_col4" class="data row27 col4" ><span>0.83 [0.82, 0.85]</span></td>
          <td id="T_59cc2_row27_col5" class="data row27 col5" ><span>0.72 [0.70, 0.74]</span></td>
          <td id="T_59cc2_row27_col6" class="data row27 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_59cc2_row27_col7" class="data row27 col7" ><span>15.42 [13.72, 17.12]</span></td>
          <td id="T_59cc2_row27_col8" class="data row27 col8" ><span>2.56 [-8.23, 13.36]</span></td>
          <td id="T_59cc2_row27_col9" class="data row27 col9" ><span>3.60 [2.97, 4.24]</span></td>
          <td id="T_59cc2_row27_col10" class="data row27 col10" ><span>37.13 [33.12, 41.15]</span></td>
          <td id="T_59cc2_row27_col11" class="data row27 col11" ><span>0.88 [0.80, 0.93]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level0_row28" class="row_heading level0 row28" rowspan="7">PD</th>
          <th id="T_59cc2_level1_row28" class="row_heading level1 row28" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_59cc2_level2_row28" class="row_heading level2 row28" >MobGap</th>
          <td id="T_59cc2_row28_col0" class="data row28 col0" >224</td>
          <td id="T_59cc2_row28_col1" class="data row28 col1" ><span>0.73 [0.68, 0.78]</span></td>
          <td id="T_59cc2_row28_col2" class="data row28 col2" ><span>0.67 [0.63, 0.72]</span></td>
          <td id="T_59cc2_row28_col3" class="data row28 col3" ><span>0.68 [0.64, 0.73]</span></td>
          <td id="T_59cc2_row28_col4" class="data row28 col4" ><span>0.84 [0.82, 0.86]</span></td>
          <td id="T_59cc2_row28_col5" class="data row28 col5" ><span>0.87 [0.85, 0.89]</span></td>
          <td id="T_59cc2_row28_col6" class="data row28 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_59cc2_row28_col7" class="data row28 col7" ><span>13.35 [11.13, 15.56]</span></td>
          <td id="T_59cc2_row28_col8" class="data row28 col8" ><span>1.52 [-14.61, 17.66]</span></td>
          <td id="T_59cc2_row28_col9" class="data row28 col9" ><span>4.04 [3.08, 5.00]</span></td>
          <td id="T_59cc2_row28_col10" class="data row28 col10" ><span>33.45 [27.88, 39.01]</span></td>
          <td id="T_59cc2_row28_col11" class="data row28 col11" ><span>0.85 [0.81, 0.89]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row29" class="row_heading level2 row29" >Original Implementation</th>
          <td id="T_59cc2_row29_col0" class="data row29 col0" >224</td>
          <td id="T_59cc2_row29_col1" class="data row29 col1" ><span>0.75 [0.70, 0.79]</span></td>
          <td id="T_59cc2_row29_col2" class="data row29 col2" ><span>0.69 [0.65, 0.74]</span></td>
          <td id="T_59cc2_row29_col3" class="data row29 col3" ><span>0.70 [0.66, 0.75]</span></td>
          <td id="T_59cc2_row29_col4" class="data row29 col4" ><span>0.86 [0.85, 0.88]</span></td>
          <td id="T_59cc2_row29_col5" class="data row29 col5" ><span>0.87 [0.85, 0.89]</span></td>
          <td id="T_59cc2_row29_col6" class="data row29 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_59cc2_row29_col7" class="data row29 col7" ><span>12.81 [10.78, 14.85]</span></td>
          <td id="T_59cc2_row29_col8" class="data row29 col8" ><span>0.99 [-12.59, 14.57]</span></td>
          <td id="T_59cc2_row29_col9" class="data row29 col9" ><span>3.43 [2.63, 4.23]</span></td>
          <td id="T_59cc2_row29_col10" class="data row29 col10" ><span>29.43 [24.73, 34.13]</span></td>
          <td id="T_59cc2_row29_col11" class="data row29 col11" ><span>0.89 [0.85, 0.91]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level1_row30" class="row_heading level1 row30" rowspan="3">GsdIluz</th>
          <th id="T_59cc2_level2_row30" class="row_heading level2 row30" >MobGap</th>
          <td id="T_59cc2_row30_col0" class="data row30 col0" >224</td>
          <td id="T_59cc2_row30_col1" class="data row30 col1" ><span>0.85 [0.80, 0.89]</span><sup>**</sup></td>
          <td id="T_59cc2_row30_col2" class="data row30 col2" ><span>0.58 [0.55, 0.62]</span></td>
          <td id="T_59cc2_row30_col3" class="data row30 col3" ><span>0.68 [0.64, 0.72]</span></td>
          <td id="T_59cc2_row30_col4" class="data row30 col4" ><span>0.75 [0.73, 0.78]</span><sup>**</sup></td>
          <td id="T_59cc2_row30_col5" class="data row30 col5" ><span>0.60 [0.57, 0.63]</span><sup>**</sup></td>
          <td id="T_59cc2_row30_col6" class="data row30 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_59cc2_row30_col7" class="data row30 col7" ><span>16.53 [14.43, 18.64]</span></td>
          <td id="T_59cc2_row30_col8" class="data row30 col8" ><span>4.71 [-5.16, 14.58]</span></td>
          <td id="T_59cc2_row30_col9" class="data row30 col9" ><span>4.98 [4.36, 5.60]</span></td>
          <td id="T_59cc2_row30_col10" class="data row30 col10" ><span>54.21 [49.04, 59.38]</span><sup>**</sup></td>
          <td id="T_59cc2_row30_col11" class="data row30 col11" ><span>0.90 [0.54, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row31" class="row_heading level2 row31" >MobGap (original peak)</th>
          <td id="T_59cc2_row31_col0" class="data row31 col0" >224</td>
          <td id="T_59cc2_row31_col1" class="data row31 col1" ><span>0.71 [0.65, 0.76]</span></td>
          <td id="T_59cc2_row31_col2" class="data row31 col2" ><span>0.60 [0.55, 0.65]</span></td>
          <td id="T_59cc2_row31_col3" class="data row31 col3" ><span>0.63 [0.58, 0.68]</span></td>
          <td id="T_59cc2_row31_col4" class="data row31 col4" ><span>0.82 [0.79, 0.84]</span></td>
          <td id="T_59cc2_row31_col5" class="data row31 col5" ><span>0.79 [0.77, 0.82]</span></td>
          <td id="T_59cc2_row31_col6" class="data row31 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_59cc2_row31_col7" class="data row31 col7" ><span>10.92 [9.76, 12.07]</span></td>
          <td id="T_59cc2_row31_col8" class="data row31 col8" ><span>-0.91 [-19.57, 17.75]</span></td>
          <td id="T_59cc2_row31_col9" class="data row31 col9" ><span>4.52 [3.42, 5.62]</span></td>
          <td id="T_59cc2_row31_col10" class="data row31 col10" ><span>42.79 [38.23, 47.36]</span></td>
          <td id="T_59cc2_row31_col11" class="data row31 col11" ><span>0.66 [0.58, 0.73]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row32" class="row_heading level2 row32" >Original Implementation</th>
          <td id="T_59cc2_row32_col0" class="data row32 col0" >224</td>
          <td id="T_59cc2_row32_col1" class="data row32 col1" ><span>0.72 [0.66, 0.77]</span></td>
          <td id="T_59cc2_row32_col2" class="data row32 col2" ><span>0.58 [0.53, 0.62]</span></td>
          <td id="T_59cc2_row32_col3" class="data row32 col3" ><span>0.63 [0.58, 0.68]</span></td>
          <td id="T_59cc2_row32_col4" class="data row32 col4" ><span>0.83 [0.82, 0.85]</span></td>
          <td id="T_59cc2_row32_col5" class="data row32 col5" ><span>0.79 [0.77, 0.82]</span></td>
          <td id="T_59cc2_row32_col6" class="data row32 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_59cc2_row32_col7" class="data row32 col7" ><span>13.25 [11.41, 15.10]</span></td>
          <td id="T_59cc2_row32_col8" class="data row32 col8" ><span>1.43 [-8.13, 10.99]</span></td>
          <td id="T_59cc2_row32_col9" class="data row32 col9" ><span>3.15 [2.62, 3.67]</span></td>
          <td id="T_59cc2_row32_col10" class="data row32 col10" ><span>40.07 [35.68, 44.45]</span></td>
          <td id="T_59cc2_row32_col11" class="data row32 col11" ><span>0.93 [0.91, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level1_row33" class="row_heading level1 row33" rowspan="2">GsdIonescu</th>
          <th id="T_59cc2_level2_row33" class="row_heading level2 row33" >MobGap</th>
          <td id="T_59cc2_row33_col0" class="data row33 col0" >224</td>
          <td id="T_59cc2_row33_col1" class="data row33 col1" ><span>0.84 [0.79, 0.88]</span></td>
          <td id="T_59cc2_row33_col2" class="data row33 col2" ><span>0.65 [0.61, 0.69]</span></td>
          <td id="T_59cc2_row33_col3" class="data row33 col3" ><span>0.73 [0.69, 0.77]</span></td>
          <td id="T_59cc2_row33_col4" class="data row33 col4" ><span>0.83 [0.82, 0.84]</span></td>
          <td id="T_59cc2_row33_col5" class="data row33 col5" ><span>0.74 [0.72, 0.76]</span></td>
          <td id="T_59cc2_row33_col6" class="data row33 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_59cc2_row33_col7" class="data row33 col7" ><span>14.68 [12.84, 16.53]</span></td>
          <td id="T_59cc2_row33_col8" class="data row33 col8" ><span>2.86 [-6.05, 11.77]</span></td>
          <td id="T_59cc2_row33_col9" class="data row33 col9" ><span>3.58 [3.06, 4.10]</span></td>
          <td id="T_59cc2_row33_col10" class="data row33 col10" ><span>35.07 [31.50, 38.64]</span></td>
          <td id="T_59cc2_row33_col11" class="data row33 col11" ><span>0.93 [0.82, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row34" class="row_heading level2 row34" >Original Implementation</th>
          <td id="T_59cc2_row34_col0" class="data row34 col0" >224</td>
          <td id="T_59cc2_row34_col1" class="data row34 col1" ><span>0.83 [0.79, 0.87]</span></td>
          <td id="T_59cc2_row34_col2" class="data row34 col2" ><span>0.66 [0.62, 0.69]</span></td>
          <td id="T_59cc2_row34_col3" class="data row34 col3" ><span>0.72 [0.69, 0.76]</span></td>
          <td id="T_59cc2_row34_col4" class="data row34 col4" ><span>0.83 [0.81, 0.84]</span></td>
          <td id="T_59cc2_row34_col5" class="data row34 col5" ><span>0.74 [0.72, 0.76]</span></td>
          <td id="T_59cc2_row34_col6" class="data row34 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_59cc2_row34_col7" class="data row34 col7" ><span>14.23 [12.54, 15.92]</span></td>
          <td id="T_59cc2_row34_col8" class="data row34 col8" ><span>2.40 [-5.97, 10.78]</span></td>
          <td id="T_59cc2_row34_col9" class="data row34 col9" ><span>3.32 [2.85, 3.79]</span></td>
          <td id="T_59cc2_row34_col10" class="data row34 col10" ><span>33.51 [30.24, 36.78]</span></td>
          <td id="T_59cc2_row34_col11" class="data row34 col11" ><span>0.93 [0.86, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level0_row35" class="row_heading level0 row35" rowspan="7">PFF</th>
          <th id="T_59cc2_level1_row35" class="row_heading level1 row35" rowspan="2">GsdAdaptiveIonescu</th>
          <th id="T_59cc2_level2_row35" class="row_heading level2 row35" >MobGap</th>
          <td id="T_59cc2_row35_col0" class="data row35 col0" >169</td>
          <td id="T_59cc2_row35_col1" class="data row35 col1" ><span>0.89 [0.86, 0.92]</span></td>
          <td id="T_59cc2_row35_col2" class="data row35 col2" ><span>0.81 [0.78, 0.84]</span></td>
          <td id="T_59cc2_row35_col3" class="data row35 col3" ><span>0.83 [0.80, 0.85]</span></td>
          <td id="T_59cc2_row35_col4" class="data row35 col4" ><span>0.84 [0.82, 0.86]</span></td>
          <td id="T_59cc2_row35_col5" class="data row35 col5" ><span>0.81 [0.78, 0.83]</span></td>
          <td id="T_59cc2_row35_col6" class="data row35 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_59cc2_row35_col7" class="data row35 col7" ><span>20.51 [16.49, 24.52]</span></td>
          <td id="T_59cc2_row35_col8" class="data row35 col8" ><span>2.89 [-25.49, 31.27]</span></td>
          <td id="T_59cc2_row35_col9" class="data row35 col9" ><span>6.45 [4.45, 8.45]</span></td>
          <td id="T_59cc2_row35_col10" class="data row35 col10" ><span>31.05 [25.52, 36.59]</span></td>
          <td id="T_59cc2_row35_col11" class="data row35 col11" ><span>0.80 [0.74, 0.85]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row36" class="row_heading level2 row36" >Original Implementation</th>
          <td id="T_59cc2_row36_col0" class="data row36 col0" >169</td>
          <td id="T_59cc2_row36_col1" class="data row36 col1" ><span>0.87 [0.84, 0.91]</span></td>
          <td id="T_59cc2_row36_col2" class="data row36 col2" ><span>0.79 [0.75, 0.82]</span></td>
          <td id="T_59cc2_row36_col3" class="data row36 col3" ><span>0.81 [0.78, 0.84]</span></td>
          <td id="T_59cc2_row36_col4" class="data row36 col4" ><span>0.82 [0.80, 0.84]</span></td>
          <td id="T_59cc2_row36_col5" class="data row36 col5" ><span>0.80 [0.77, 0.83]</span></td>
          <td id="T_59cc2_row36_col6" class="data row36 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_59cc2_row36_col7" class="data row36 col7" ><span>19.69 [16.04, 23.34]</span></td>
          <td id="T_59cc2_row36_col8" class="data row36 col8" ><span>2.07 [-22.44, 26.57]</span></td>
          <td id="T_59cc2_row36_col9" class="data row36 col9" ><span>6.08 [4.41, 7.76]</span></td>
          <td id="T_59cc2_row36_col10" class="data row36 col10" ><span>32.81 [27.38, 38.23]</span></td>
          <td id="T_59cc2_row36_col11" class="data row36 col11" ><span>0.83 [0.78, 0.87]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level1_row37" class="row_heading level1 row37" rowspan="3">GsdIluz</th>
          <th id="T_59cc2_level2_row37" class="row_heading level2 row37" >MobGap</th>
          <td id="T_59cc2_row37_col0" class="data row37 col0" >169</td>
          <td id="T_59cc2_row37_col1" class="data row37 col1" ><span>0.93 [0.90, 0.95]</span><sup>**</sup></td>
          <td id="T_59cc2_row37_col2" class="data row37 col2" ><span>0.70 [0.67, 0.73]</span><sup>*</sup></td>
          <td id="T_59cc2_row37_col3" class="data row37 col3" ><span>0.77 [0.75, 0.80]</span><sup>**</sup></td>
          <td id="T_59cc2_row37_col4" class="data row37 col4" ><span>0.77 [0.75, 0.78]</span></td>
          <td id="T_59cc2_row37_col5" class="data row37 col5" ><span>0.59 [0.56, 0.62]</span><sup>**</sup></td>
          <td id="T_59cc2_row37_col6" class="data row37 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_59cc2_row37_col7" class="data row37 col7" ><span>20.54 [17.41, 23.68]</span></td>
          <td id="T_59cc2_row37_col8" class="data row37 col8" ><span>2.92 [-18.67, 24.51]</span></td>
          <td id="T_59cc2_row37_col9" class="data row37 col9" ><span>6.64 [5.25, 8.03]</span></td>
          <td id="T_59cc2_row37_col10" class="data row37 col10" ><span>50.80 [44.61, 57.00]</span></td>
          <td id="T_59cc2_row37_col11" class="data row37 col11" ><span>0.84 [0.78, 0.88]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row38" class="row_heading level2 row38" >MobGap (original peak)</th>
          <td id="T_59cc2_row38_col0" class="data row38 col0" >169</td>
          <td id="T_59cc2_row38_col1" class="data row38 col1" ><span>0.67 [0.60, 0.73]</span></td>
          <td id="T_59cc2_row38_col2" class="data row38 col2" ><span>0.58 [0.53, 0.64]</span></td>
          <td id="T_59cc2_row38_col3" class="data row38 col3" ><span>0.59 [0.54, 0.65]</span></td>
          <td id="T_59cc2_row38_col4" class="data row38 col4" ><span>0.72 [0.69, 0.75]</span></td>
          <td id="T_59cc2_row38_col5" class="data row38 col5" ><span>0.80 [0.77, 0.83]</span></td>
          <td id="T_59cc2_row38_col6" class="data row38 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_59cc2_row38_col7" class="data row38 col7" ><span>10.24 [8.73, 11.76]</span></td>
          <td id="T_59cc2_row38_col8" class="data row38 col8" ><span>-7.38 [-45.37, 30.62]</span></td>
          <td id="T_59cc2_row38_col9" class="data row38 col9" ><span>10.23 [7.51, 12.95]</span></td>
          <td id="T_59cc2_row38_col10" class="data row38 col10" ><span>56.51 [50.51, 62.51]</span></td>
          <td id="T_59cc2_row38_col11" class="data row38 col11" ><span>0.18 [0.03, 0.31]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row39" class="row_heading level2 row39" >Original Implementation</th>
          <td id="T_59cc2_row39_col0" class="data row39 col0" >169</td>
          <td id="T_59cc2_row39_col1" class="data row39 col1" ><span>0.74 [0.68, 0.79]</span></td>
          <td id="T_59cc2_row39_col2" class="data row39 col2" ><span>0.64 [0.59, 0.69]</span></td>
          <td id="T_59cc2_row39_col3" class="data row39 col3" ><span>0.66 [0.61, 0.71]</span></td>
          <td id="T_59cc2_row39_col4" class="data row39 col4" ><span>0.76 [0.73, 0.78]</span></td>
          <td id="T_59cc2_row39_col5" class="data row39 col5" ><span>0.78 [0.75, 0.81]</span></td>
          <td id="T_59cc2_row39_col6" class="data row39 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_59cc2_row39_col7" class="data row39 col7" ><span>12.86 [10.95, 14.78]</span></td>
          <td id="T_59cc2_row39_col8" class="data row39 col8" ><span>-4.76 [-39.26, 29.74]</span></td>
          <td id="T_59cc2_row39_col9" class="data row39 col9" ><span>8.42 [5.98, 10.86]</span></td>
          <td id="T_59cc2_row39_col10" class="data row39 col10" ><span>48.22 [42.13, 54.32]</span></td>
          <td id="T_59cc2_row39_col11" class="data row39 col11" ><span>0.40 [0.26, 0.52]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level1_row40" class="row_heading level1 row40" rowspan="2">GsdIonescu</th>
          <th id="T_59cc2_level2_row40" class="row_heading level2 row40" >MobGap</th>
          <td id="T_59cc2_row40_col0" class="data row40 col0" >169</td>
          <td id="T_59cc2_row40_col1" class="data row40 col1" ><span>0.89 [0.86, 0.92]</span></td>
          <td id="T_59cc2_row40_col2" class="data row40 col2" ><span>0.80 [0.77, 0.82]</span></td>
          <td id="T_59cc2_row40_col3" class="data row40 col3" ><span>0.82 [0.80, 0.85]</span></td>
          <td id="T_59cc2_row40_col4" class="data row40 col4" ><span>0.84 [0.83, 0.86]</span></td>
          <td id="T_59cc2_row40_col5" class="data row40 col5" ><span>0.79 [0.77, 0.81]</span></td>
          <td id="T_59cc2_row40_col6" class="data row40 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_59cc2_row40_col7" class="data row40 col7" ><span>16.49 [14.20, 18.79]</span></td>
          <td id="T_59cc2_row40_col8" class="data row40 col8" ><span>-1.13 [-18.98, 16.73]</span></td>
          <td id="T_59cc2_row40_col9" class="data row40 col9" ><span>4.77 [3.59, 5.95]</span></td>
          <td id="T_59cc2_row40_col10" class="data row40 col10" ><span>30.17 [26.53, 33.81]</span></td>
          <td id="T_59cc2_row40_col11" class="data row40 col11" ><span>0.86 [0.82, 0.89]</span></td>
        </tr>
        <tr>
          <th id="T_59cc2_level2_row41" class="row_heading level2 row41" >Original Implementation</th>
          <td id="T_59cc2_row41_col0" class="data row41 col0" >169</td>
          <td id="T_59cc2_row41_col1" class="data row41 col1" ><span>0.87 [0.84, 0.91]</span></td>
          <td id="T_59cc2_row41_col2" class="data row41 col2" ><span>0.80 [0.78, 0.83]</span></td>
          <td id="T_59cc2_row41_col3" class="data row41 col3" ><span>0.81 [0.79, 0.84]</span></td>
          <td id="T_59cc2_row41_col4" class="data row41 col4" ><span>0.84 [0.82, 0.85]</span></td>
          <td id="T_59cc2_row41_col5" class="data row41 col5" ><span>0.80 [0.78, 0.82]</span></td>
          <td id="T_59cc2_row41_col6" class="data row41 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_59cc2_row41_col7" class="data row41 col7" ><span>15.48 [13.50, 17.46]</span></td>
          <td id="T_59cc2_row41_col8" class="data row41 col8" ><span>-2.14 [-22.17, 17.90]</span></td>
          <td id="T_59cc2_row41_col9" class="data row41 col9" ><span>5.17 [3.80, 6.53]</span></td>
          <td id="T_59cc2_row41_col10" class="data row41 col10" ><span>31.18 [27.31, 35.06]</span></td>
          <td id="T_59cc2_row41_col11" class="data row41 col11" ><span>0.80 [0.74, 0.85]</span></td>
        </tr>
      </tbody>
    </table>

    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 569-575

Per relevant cohort
~~~~~~~~~~~~~~~~~~~
Overview over all cohorts is good, but this is not how the GSD algorithms are used in our main pipeline.
Here, the HA, CHF, and COPD cohort use the ``GsdIluz`` algorithm, while the ``GsdIonescu`` algorithm is used for the
MS, PD, PFF cohorts.
Let's look at the performance of these algorithms on the respective cohorts.

.. GENERATED FROM PYTHON SOURCE LINES 575-601

.. code-block:: Python


    low_impairment_results = lab_results_long[
        lab_results_long["cohort"].isin(low_impairment_cohorts)
    ].query("algo == @low_impairment_algo")

    fig, ax = plt.subplots()
    sns.boxplot(
        data=low_impairment_results,
        x="cohort",
        y="f1_score",
        hue="version",
        hue_order=hue_order,
        ax=ax,
    )
    sns.boxplot(
        data=low_impairment_results,
        x="_combined",
        y="f1_score",
        hue="version",
        hue_order=hue_order,
        legend=False,
        ax=ax,
    )
    fig.suptitle(f"Low Impairment Cohorts ({low_impairment_algo})")
    fig.show()




.. image-sg:: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_007.png
   :alt: Low Impairment Cohorts (GsdIluz)
   :srcset: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_007.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 602-610

.. code-block:: Python

    perf_metrics_per_cohort.copy().loc[
        pd.IndexSlice[low_impairment_cohorts, low_impairment_algo], :
    ].reset_index("algo", drop=True).style.pipe(
        revalidation_table_styles,
        validation_thresholds,
        ["cohort"],
    )






.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
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      font-weight: bold;
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    </style>
    <table id="T_343f8" class="dataframe">
      <thead>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank level0" >&nbsp;</th>
          <th id="T_343f8_level0_col0" class="col_heading level0 col0" >General</th>
          <th id="T_343f8_level0_col1" class="col_heading level0 col1" colspan="5">GSD</th>
          <th id="T_343f8_level0_col6" class="col_heading level0 col6" colspan="6">GS duration</th>
        </tr>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank level1" >&nbsp;</th>
          <th id="T_343f8_level1_col0" class="col_heading level1 col0" ># recordings</th>
          <th id="T_343f8_level1_col1" class="col_heading level1 col1" >Recall</th>
          <th id="T_343f8_level1_col2" class="col_heading level1 col2" >Precision</th>
          <th id="T_343f8_level1_col3" class="col_heading level1 col3" >F1 Score</th>
          <th id="T_343f8_level1_col4" class="col_heading level1 col4" >Accuracy</th>
          <th id="T_343f8_level1_col5" class="col_heading level1 col5" >Specificity</th>
          <th id="T_343f8_level1_col6" class="col_heading level1 col6" >INDIP mean and CI [s]</th>
          <th id="T_343f8_level1_col7" class="col_heading level1 col7" >WD mean and CI [s]</th>
          <th id="T_343f8_level1_col8" class="col_heading level1 col8" >Bias and LoA [s]</th>
          <th id="T_343f8_level1_col9" class="col_heading level1 col9" >Abs. Error [s]</th>
          <th id="T_343f8_level1_col10" class="col_heading level1 col10" >Abs. Rel. Error [%]</th>
          <th id="T_343f8_level1_col11" class="col_heading level1 col11" >ICC</th>
        </tr>
        <tr>
          <th class="index_name level0" >cohort</th>
          <th class="index_name level1" >version</th>
          <th class="blank col0" >&nbsp;</th>
          <th class="blank col1" >&nbsp;</th>
          <th class="blank col2" >&nbsp;</th>
          <th class="blank col3" >&nbsp;</th>
          <th class="blank col4" >&nbsp;</th>
          <th class="blank col5" >&nbsp;</th>
          <th class="blank col6" >&nbsp;</th>
          <th class="blank col7" >&nbsp;</th>
          <th class="blank col8" >&nbsp;</th>
          <th class="blank col9" >&nbsp;</th>
          <th class="blank col10" >&nbsp;</th>
          <th class="blank col11" >&nbsp;</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th id="T_343f8_level0_row0" class="row_heading level0 row0" rowspan="3">HA</th>
          <th id="T_343f8_level1_row0" class="row_heading level1 row0" >MobGap</th>
          <td id="T_343f8_row0_col0" class="data row0 col0" >227</td>
          <td id="T_343f8_row0_col1" class="data row0 col1" ><span>0.80 [0.75, 0.85]</span><sup>**</sup></td>
          <td id="T_343f8_row0_col2" class="data row0 col2" ><span>0.53 [0.49, 0.56]</span></td>
          <td id="T_343f8_row0_col3" class="data row0 col3" ><span>0.63 [0.59, 0.67]</span></td>
          <td id="T_343f8_row0_col4" class="data row0 col4" ><span>0.75 [0.73, 0.77]</span><sup>**</sup></td>
          <td id="T_343f8_row0_col5" class="data row0 col5" ><span>0.61 [0.59, 0.64]</span><sup>**</sup></td>
          <td id="T_343f8_row0_col6" class="data row0 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_343f8_row0_col7" class="data row0 col7" ><span>13.53 [11.94, 15.11]</span></td>
          <td id="T_343f8_row0_col8" class="data row0 col8" ><span>4.19 [-5.35, 13.73]</span></td>
          <td id="T_343f8_row0_col9" class="data row0 col9" ><span>4.50 [3.90, 5.10]</span></td>
          <td id="T_343f8_row0_col10" class="data row0 col10" ><span>60.68 [55.08, 66.28]</span><sup>**</sup></td>
          <td id="T_343f8_row0_col11" class="data row0 col11" ><span>0.85 [0.48, 0.93]</span></td>
        </tr>
        <tr>
          <th id="T_343f8_level1_row1" class="row_heading level1 row1" >MobGap (original peak)</th>
          <td id="T_343f8_row1_col0" class="data row1 col0" >227</td>
          <td id="T_343f8_row1_col1" class="data row1 col1" ><span>0.71 [0.65, 0.76]</span></td>
          <td id="T_343f8_row1_col2" class="data row1 col2" ><span>0.55 [0.51, 0.60]</span></td>
          <td id="T_343f8_row1_col3" class="data row1 col3" ><span>0.61 [0.56, 0.65]</span></td>
          <td id="T_343f8_row1_col4" class="data row1 col4" ><span>0.83 [0.81, 0.84]</span></td>
          <td id="T_343f8_row1_col5" class="data row1 col5" ><span>0.77 [0.74, 0.79]</span></td>
          <td id="T_343f8_row1_col6" class="data row1 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_343f8_row1_col7" class="data row1 col7" ><span>9.54 [8.60, 10.48]</span></td>
          <td id="T_343f8_row1_col8" class="data row1 col8" ><span>0.20 [-12.55, 12.96]</span></td>
          <td id="T_343f8_row1_col9" class="data row1 col9" ><span>3.82 [3.14, 4.51]</span></td>
          <td id="T_343f8_row1_col10" class="data row1 col10" ><span>48.22 [43.50, 52.95]</span></td>
          <td id="T_343f8_row1_col11" class="data row1 col11" ><span>0.73 [0.66, 0.79]</span></td>
        </tr>
        <tr>
          <th id="T_343f8_level1_row2" class="row_heading level1 row2" >Original Implementation</th>
          <td id="T_343f8_row2_col0" class="data row2 col0" >227</td>
          <td id="T_343f8_row2_col1" class="data row2 col1" ><span>0.69 [0.64, 0.75]</span></td>
          <td id="T_343f8_row2_col2" class="data row2 col2" ><span>0.53 [0.49, 0.57]</span></td>
          <td id="T_343f8_row2_col3" class="data row2 col3" ><span>0.59 [0.55, 0.64]</span></td>
          <td id="T_343f8_row2_col4" class="data row2 col4" ><span>0.84 [0.82, 0.85]</span></td>
          <td id="T_343f8_row2_col5" class="data row2 col5" ><span>0.78 [0.76, 0.81]</span></td>
          <td id="T_343f8_row2_col6" class="data row2 col6" ><span>9.34 [8.00, 10.67]</span></td>
          <td id="T_343f8_row2_col7" class="data row2 col7" ><span>10.93 [9.45, 12.41]</span></td>
          <td id="T_343f8_row2_col8" class="data row2 col8" ><span>1.59 [-6.00, 9.19]</span></td>
          <td id="T_343f8_row2_col9" class="data row2 col9" ><span>2.71 [2.30, 3.13]</span></td>
          <td id="T_343f8_row2_col10" class="data row2 col10" ><span>45.40 [40.48, 50.32]</span></td>
          <td id="T_343f8_row2_col11" class="data row2 col11" ><span>0.93 [0.88, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_343f8_level0_row3" class="row_heading level0 row3" rowspan="3">COPD</th>
          <th id="T_343f8_level1_row3" class="row_heading level1 row3" >MobGap</th>
          <td id="T_343f8_row3_col0" class="data row3 col0" >214</td>
          <td id="T_343f8_row3_col1" class="data row3 col1" ><span>0.79 [0.73, 0.84]</span><sup>**</sup></td>
          <td id="T_343f8_row3_col2" class="data row3 col2" ><span>0.54 [0.50, 0.58]</span></td>
          <td id="T_343f8_row3_col3" class="data row3 col3" ><span>0.63 [0.58, 0.67]</span></td>
          <td id="T_343f8_row3_col4" class="data row3 col4" ><span>0.78 [0.76, 0.80]</span><sup>**</sup></td>
          <td id="T_343f8_row3_col5" class="data row3 col5" ><span>0.69 [0.67, 0.71]</span><sup>**</sup></td>
          <td id="T_343f8_row3_col6" class="data row3 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_343f8_row3_col7" class="data row3 col7" ><span>14.89 [13.32, 16.45]</span></td>
          <td id="T_343f8_row3_col8" class="data row3 col8" ><span>4.03 [-4.30, 12.37]</span></td>
          <td id="T_343f8_row3_col9" class="data row3 col9" ><span>4.52 [4.02, 5.02]</span></td>
          <td id="T_343f8_row3_col10" class="data row3 col10" ><span>59.31 [52.47, 66.14]</span><sup>**</sup></td>
          <td id="T_343f8_row3_col11" class="data row3 col11" ><span>0.88 [0.47, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_343f8_level1_row4" class="row_heading level1 row4" >MobGap (original peak)</th>
          <td id="T_343f8_row4_col0" class="data row4 col0" >214</td>
          <td id="T_343f8_row4_col1" class="data row4 col1" ><span>0.66 [0.59, 0.72]</span></td>
          <td id="T_343f8_row4_col2" class="data row4 col2" ><span>0.55 [0.50, 0.60]</span></td>
          <td id="T_343f8_row4_col3" class="data row4 col3" ><span>0.58 [0.53, 0.63]</span></td>
          <td id="T_343f8_row4_col4" class="data row4 col4" ><span>0.86 [0.85, 0.88]</span></td>
          <td id="T_343f8_row4_col5" class="data row4 col5" ><span>0.85 [0.83, 0.87]</span></td>
          <td id="T_343f8_row4_col6" class="data row4 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_343f8_row4_col7" class="data row4 col7" ><span>10.47 [9.30, 11.63]</span></td>
          <td id="T_343f8_row4_col8" class="data row4 col8" ><span>-0.39 [-14.05, 13.28]</span></td>
          <td id="T_343f8_row4_col9" class="data row4 col9" ><span>3.78 [2.99, 4.56]</span></td>
          <td id="T_343f8_row4_col10" class="data row4 col10" ><span>45.54 [40.19, 50.89]</span></td>
          <td id="T_343f8_row4_col11" class="data row4 col11" ><span>0.76 [0.69, 0.81]</span></td>
        </tr>
        <tr>
          <th id="T_343f8_level1_row5" class="row_heading level1 row5" >Original Implementation</th>
          <td id="T_343f8_row5_col0" class="data row5 col0" >214</td>
          <td id="T_343f8_row5_col1" class="data row5 col1" ><span>0.66 [0.60, 0.72]</span></td>
          <td id="T_343f8_row5_col2" class="data row5 col2" ><span>0.53 [0.48, 0.58]</span></td>
          <td id="T_343f8_row5_col3" class="data row5 col3" ><span>0.58 [0.53, 0.64]</span></td>
          <td id="T_343f8_row5_col4" class="data row5 col4" ><span>0.87 [0.86, 0.88]</span></td>
          <td id="T_343f8_row5_col5" class="data row5 col5" ><span>0.85 [0.83, 0.87]</span></td>
          <td id="T_343f8_row5_col6" class="data row5 col6" ><span>10.85 [9.36, 12.34]</span></td>
          <td id="T_343f8_row5_col7" class="data row5 col7" ><span>12.18 [10.58, 13.78]</span></td>
          <td id="T_343f8_row5_col8" class="data row5 col8" ><span>1.33 [-6.72, 9.38]</span></td>
          <td id="T_343f8_row5_col9" class="data row5 col9" ><span>2.78 [2.34, 3.22]</span></td>
          <td id="T_343f8_row5_col10" class="data row5 col10" ><span>42.60 [37.14, 48.05]</span></td>
          <td id="T_343f8_row5_col11" class="data row5 col11" ><span>0.93 [0.90, 0.95]</span></td>
        </tr>
        <tr>
          <th id="T_343f8_level0_row6" class="row_heading level0 row6" rowspan="3">CHF</th>
          <th id="T_343f8_level1_row6" class="row_heading level1 row6" >MobGap</th>
          <td id="T_343f8_row6_col0" class="data row6 col0" >106</td>
          <td id="T_343f8_row6_col1" class="data row6 col1" ><span>0.90 [0.85, 0.95]</span><sup>**</sup></td>
          <td id="T_343f8_row6_col2" class="data row6 col2" ><span>0.61 [0.57, 0.66]</span></td>
          <td id="T_343f8_row6_col3" class="data row6 col3" ><span>0.72 [0.67, 0.76]</span></td>
          <td id="T_343f8_row6_col4" class="data row6 col4" ><span>0.72 [0.68, 0.76]</span><sup>**</sup></td>
          <td id="T_343f8_row6_col5" class="data row6 col5" ><span>0.53 [0.48, 0.57]</span><sup>**</sup></td>
          <td id="T_343f8_row6_col6" class="data row6 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_343f8_row6_col7" class="data row6 col7" ><span>16.02 [13.29, 18.75]</span></td>
          <td id="T_343f8_row6_col8" class="data row6 col8" ><span>4.33 [-4.51, 13.18]</span></td>
          <td id="T_343f8_row6_col9" class="data row6 col9" ><span>4.61 [3.81, 5.42]</span></td>
          <td id="T_343f8_row6_col10" class="data row6 col10" ><span>58.82 [49.28, 68.37]</span></td>
          <td id="T_343f8_row6_col11" class="data row6 col11" ><span>0.90 [0.52, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_343f8_level1_row7" class="row_heading level1 row7" >MobGap (original peak)</th>
          <td id="T_343f8_row7_col0" class="data row7 col0" >106</td>
          <td id="T_343f8_row7_col1" class="data row7 col1" ><span>0.78 [0.71, 0.86]</span></td>
          <td id="T_343f8_row7_col2" class="data row7 col2" ><span>0.62 [0.56, 0.68]</span></td>
          <td id="T_343f8_row7_col3" class="data row7 col3" ><span>0.67 [0.61, 0.73]</span></td>
          <td id="T_343f8_row7_col4" class="data row7 col4" ><span>0.77 [0.73, 0.80]</span></td>
          <td id="T_343f8_row7_col5" class="data row7 col5" ><span>0.70 [0.65, 0.74]</span></td>
          <td id="T_343f8_row7_col6" class="data row7 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_343f8_row7_col7" class="data row7 col7" ><span>11.24 [9.59, 12.89]</span></td>
          <td id="T_343f8_row7_col8" class="data row7 col8" ><span>-0.44 [-18.32, 17.45]</span></td>
          <td id="T_343f8_row7_col9" class="data row7 col9" ><span>4.93 [3.46, 6.39]</span></td>
          <td id="T_343f8_row7_col10" class="data row7 col10" ><span>49.91 [41.96, 57.86]</span></td>
          <td id="T_343f8_row7_col11" class="data row7 col11" ><span>0.66 [0.54, 0.76]</span></td>
        </tr>
        <tr>
          <th id="T_343f8_level1_row8" class="row_heading level1 row8" >Original Implementation</th>
          <td id="T_343f8_row8_col0" class="data row8 col0" >106</td>
          <td id="T_343f8_row8_col1" class="data row8 col1" ><span>0.76 [0.69, 0.84]</span></td>
          <td id="T_343f8_row8_col2" class="data row8 col2" ><span>0.60 [0.53, 0.66]</span></td>
          <td id="T_343f8_row8_col3" class="data row8 col3" ><span>0.66 [0.59, 0.72]</span></td>
          <td id="T_343f8_row8_col4" class="data row8 col4" ><span>0.79 [0.76, 0.82]</span></td>
          <td id="T_343f8_row8_col5" class="data row8 col5" ><span>0.71 [0.67, 0.75]</span></td>
          <td id="T_343f8_row8_col6" class="data row8 col6" ><span>11.68 [9.20, 14.16]</span></td>
          <td id="T_343f8_row8_col7" class="data row8 col7" ><span>12.97 [10.41, 15.53]</span></td>
          <td id="T_343f8_row8_col8" class="data row8 col8" ><span>1.29 [-7.91, 10.49]</span></td>
          <td id="T_343f8_row8_col9" class="data row8 col9" ><span>3.40 [2.74, 4.06]</span></td>
          <td id="T_343f8_row8_col10" class="data row8 col10" ><span>46.68 [39.14, 54.21]</span></td>
          <td id="T_343f8_row8_col11" class="data row8 col11" ><span>0.93 [0.90, 0.96]</span></td>
        </tr>
      </tbody>
    </table>

    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 611-638

.. code-block:: Python

    high_impairment_results = lab_results_long[
        lab_results_long["cohort"].isin(high_impairment_cohorts)
    ].query("algo == @high_impairment_algo")

    hue_order = ["Original Implementation", "MobGap"]

    fig, ax = plt.subplots()
    sns.boxplot(
        data=high_impairment_results,
        x="cohort",
        y="f1_score",
        hue="version",
        hue_order=hue_order,
        ax=ax,
    )
    sns.boxplot(
        data=high_impairment_results,
        x="_combined",
        y="f1_score",
        hue="version",
        hue_order=hue_order,
        legend=False,
        ax=ax,
    )
    fig.suptitle(f"High Impairment Cohorts ({high_impairment_algo})")
    fig.show()




.. image-sg:: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_008.png
   :alt: High Impairment Cohorts (GsdIonescu)
   :srcset: /auto_revalidation/gait_sequences/images/sphx_glr__01_gsd_analysis_008.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 639-646

.. code-block:: Python

    perf_metrics_per_cohort.copy().loc[
        pd.IndexSlice[high_impairment_cohorts, high_impairment_algo], :
    ].reset_index("algo", drop=True).style.pipe(
        revalidation_table_styles,
        validation_thresholds,
        ["cohort"],
    )





.. raw:: html

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    <table id="T_6e74e" class="dataframe">
      <thead>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank level0" >&nbsp;</th>
          <th id="T_6e74e_level0_col0" class="col_heading level0 col0" >General</th>
          <th id="T_6e74e_level0_col1" class="col_heading level0 col1" colspan="5">GSD</th>
          <th id="T_6e74e_level0_col6" class="col_heading level0 col6" colspan="6">GS duration</th>
        </tr>
        <tr>
          <th class="blank" >&nbsp;</th>
          <th class="blank level1" >&nbsp;</th>
          <th id="T_6e74e_level1_col0" class="col_heading level1 col0" ># recordings</th>
          <th id="T_6e74e_level1_col1" class="col_heading level1 col1" >Recall</th>
          <th id="T_6e74e_level1_col2" class="col_heading level1 col2" >Precision</th>
          <th id="T_6e74e_level1_col3" class="col_heading level1 col3" >F1 Score</th>
          <th id="T_6e74e_level1_col4" class="col_heading level1 col4" >Accuracy</th>
          <th id="T_6e74e_level1_col5" class="col_heading level1 col5" >Specificity</th>
          <th id="T_6e74e_level1_col6" class="col_heading level1 col6" >INDIP mean and CI [s]</th>
          <th id="T_6e74e_level1_col7" class="col_heading level1 col7" >WD mean and CI [s]</th>
          <th id="T_6e74e_level1_col8" class="col_heading level1 col8" >Bias and LoA [s]</th>
          <th id="T_6e74e_level1_col9" class="col_heading level1 col9" >Abs. Error [s]</th>
          <th id="T_6e74e_level1_col10" class="col_heading level1 col10" >Abs. Rel. Error [%]</th>
          <th id="T_6e74e_level1_col11" class="col_heading level1 col11" >ICC</th>
        </tr>
        <tr>
          <th class="index_name level0" >cohort</th>
          <th class="index_name level1" >version</th>
          <th class="blank col0" >&nbsp;</th>
          <th class="blank col1" >&nbsp;</th>
          <th class="blank col2" >&nbsp;</th>
          <th class="blank col3" >&nbsp;</th>
          <th class="blank col4" >&nbsp;</th>
          <th class="blank col5" >&nbsp;</th>
          <th class="blank col6" >&nbsp;</th>
          <th class="blank col7" >&nbsp;</th>
          <th class="blank col8" >&nbsp;</th>
          <th class="blank col9" >&nbsp;</th>
          <th class="blank col10" >&nbsp;</th>
          <th class="blank col11" >&nbsp;</th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th id="T_6e74e_level0_row0" class="row_heading level0 row0" rowspan="2">PD</th>
          <th id="T_6e74e_level1_row0" class="row_heading level1 row0" >MobGap</th>
          <td id="T_6e74e_row0_col0" class="data row0 col0" >224</td>
          <td id="T_6e74e_row0_col1" class="data row0 col1" ><span>0.84 [0.79, 0.88]</span></td>
          <td id="T_6e74e_row0_col2" class="data row0 col2" ><span>0.65 [0.61, 0.69]</span></td>
          <td id="T_6e74e_row0_col3" class="data row0 col3" ><span>0.73 [0.69, 0.77]</span></td>
          <td id="T_6e74e_row0_col4" class="data row0 col4" ><span>0.83 [0.82, 0.84]</span></td>
          <td id="T_6e74e_row0_col5" class="data row0 col5" ><span>0.74 [0.72, 0.76]</span></td>
          <td id="T_6e74e_row0_col6" class="data row0 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_6e74e_row0_col7" class="data row0 col7" ><span>14.68 [12.84, 16.53]</span></td>
          <td id="T_6e74e_row0_col8" class="data row0 col8" ><span>2.86 [-6.05, 11.77]</span></td>
          <td id="T_6e74e_row0_col9" class="data row0 col9" ><span>3.58 [3.06, 4.10]</span></td>
          <td id="T_6e74e_row0_col10" class="data row0 col10" ><span>35.07 [31.50, 38.64]</span></td>
          <td id="T_6e74e_row0_col11" class="data row0 col11" ><span>0.93 [0.82, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_6e74e_level1_row1" class="row_heading level1 row1" >Original Implementation</th>
          <td id="T_6e74e_row1_col0" class="data row1 col0" >224</td>
          <td id="T_6e74e_row1_col1" class="data row1 col1" ><span>0.83 [0.79, 0.87]</span></td>
          <td id="T_6e74e_row1_col2" class="data row1 col2" ><span>0.66 [0.62, 0.69]</span></td>
          <td id="T_6e74e_row1_col3" class="data row1 col3" ><span>0.72 [0.69, 0.76]</span></td>
          <td id="T_6e74e_row1_col4" class="data row1 col4" ><span>0.83 [0.81, 0.84]</span></td>
          <td id="T_6e74e_row1_col5" class="data row1 col5" ><span>0.74 [0.72, 0.76]</span></td>
          <td id="T_6e74e_row1_col6" class="data row1 col6" ><span>11.83 [10.03, 13.62]</span></td>
          <td id="T_6e74e_row1_col7" class="data row1 col7" ><span>14.23 [12.54, 15.92]</span></td>
          <td id="T_6e74e_row1_col8" class="data row1 col8" ><span>2.40 [-5.97, 10.78]</span></td>
          <td id="T_6e74e_row1_col9" class="data row1 col9" ><span>3.32 [2.85, 3.79]</span></td>
          <td id="T_6e74e_row1_col10" class="data row1 col10" ><span>33.51 [30.24, 36.78]</span></td>
          <td id="T_6e74e_row1_col11" class="data row1 col11" ><span>0.93 [0.86, 0.96]</span></td>
        </tr>
        <tr>
          <th id="T_6e74e_level0_row2" class="row_heading level0 row2" rowspan="2">MS</th>
          <th id="T_6e74e_level1_row2" class="row_heading level1 row2" >MobGap</th>
          <td id="T_6e74e_row2_col0" class="data row2 col0" >228</td>
          <td id="T_6e74e_row2_col1" class="data row2 col1" ><span>0.94 [0.91, 0.96]</span></td>
          <td id="T_6e74e_row2_col2" class="data row2 col2" ><span>0.72 [0.70, 0.75]</span></td>
          <td id="T_6e74e_row2_col3" class="data row2 col3" ><span>0.81 [0.78, 0.83]</span></td>
          <td id="T_6e74e_row2_col4" class="data row2 col4" ><span>0.83 [0.82, 0.85]</span></td>
          <td id="T_6e74e_row2_col5" class="data row2 col5" ><span>0.72 [0.70, 0.74]</span></td>
          <td id="T_6e74e_row2_col6" class="data row2 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_6e74e_row2_col7" class="data row2 col7" ><span>15.92 [14.06, 17.78]</span></td>
          <td id="T_6e74e_row2_col8" class="data row2 col8" ><span>3.07 [-9.41, 15.55]</span></td>
          <td id="T_6e74e_row2_col9" class="data row2 col9" ><span>3.87 [3.10, 4.64]</span></td>
          <td id="T_6e74e_row2_col10" class="data row2 col10" ><span>37.62 [33.46, 41.77]</span></td>
          <td id="T_6e74e_row2_col11" class="data row2 col11" ><span>0.86 [0.75, 0.91]</span></td>
        </tr>
        <tr>
          <th id="T_6e74e_level1_row3" class="row_heading level1 row3" >Original Implementation</th>
          <td id="T_6e74e_row3_col0" class="data row3 col0" >228</td>
          <td id="T_6e74e_row3_col1" class="data row3 col1" ><span>0.93 [0.90, 0.96]</span></td>
          <td id="T_6e74e_row3_col2" class="data row3 col2" ><span>0.72 [0.70, 0.75]</span></td>
          <td id="T_6e74e_row3_col3" class="data row3 col3" ><span>0.80 [0.78, 0.83]</span></td>
          <td id="T_6e74e_row3_col4" class="data row3 col4" ><span>0.83 [0.82, 0.85]</span></td>
          <td id="T_6e74e_row3_col5" class="data row3 col5" ><span>0.72 [0.70, 0.74]</span></td>
          <td id="T_6e74e_row3_col6" class="data row3 col6" ><span>12.85 [11.34, 14.37]</span></td>
          <td id="T_6e74e_row3_col7" class="data row3 col7" ><span>15.42 [13.72, 17.12]</span></td>
          <td id="T_6e74e_row3_col8" class="data row3 col8" ><span>2.56 [-8.23, 13.36]</span></td>
          <td id="T_6e74e_row3_col9" class="data row3 col9" ><span>3.60 [2.97, 4.24]</span></td>
          <td id="T_6e74e_row3_col10" class="data row3 col10" ><span>37.13 [33.12, 41.15]</span></td>
          <td id="T_6e74e_row3_col11" class="data row3 col11" ><span>0.88 [0.80, 0.93]</span></td>
        </tr>
        <tr>
          <th id="T_6e74e_level0_row4" class="row_heading level0 row4" rowspan="2">PFF</th>
          <th id="T_6e74e_level1_row4" class="row_heading level1 row4" >MobGap</th>
          <td id="T_6e74e_row4_col0" class="data row4 col0" >169</td>
          <td id="T_6e74e_row4_col1" class="data row4 col1" ><span>0.89 [0.86, 0.92]</span></td>
          <td id="T_6e74e_row4_col2" class="data row4 col2" ><span>0.80 [0.77, 0.82]</span></td>
          <td id="T_6e74e_row4_col3" class="data row4 col3" ><span>0.82 [0.80, 0.85]</span></td>
          <td id="T_6e74e_row4_col4" class="data row4 col4" ><span>0.84 [0.83, 0.86]</span></td>
          <td id="T_6e74e_row4_col5" class="data row4 col5" ><span>0.79 [0.77, 0.81]</span></td>
          <td id="T_6e74e_row4_col6" class="data row4 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_6e74e_row4_col7" class="data row4 col7" ><span>16.49 [14.20, 18.79]</span></td>
          <td id="T_6e74e_row4_col8" class="data row4 col8" ><span>-1.13 [-18.98, 16.73]</span></td>
          <td id="T_6e74e_row4_col9" class="data row4 col9" ><span>4.77 [3.59, 5.95]</span></td>
          <td id="T_6e74e_row4_col10" class="data row4 col10" ><span>30.17 [26.53, 33.81]</span></td>
          <td id="T_6e74e_row4_col11" class="data row4 col11" ><span>0.86 [0.82, 0.89]</span></td>
        </tr>
        <tr>
          <th id="T_6e74e_level1_row5" class="row_heading level1 row5" >Original Implementation</th>
          <td id="T_6e74e_row5_col0" class="data row5 col0" >169</td>
          <td id="T_6e74e_row5_col1" class="data row5 col1" ><span>0.87 [0.84, 0.91]</span></td>
          <td id="T_6e74e_row5_col2" class="data row5 col2" ><span>0.80 [0.78, 0.83]</span></td>
          <td id="T_6e74e_row5_col3" class="data row5 col3" ><span>0.81 [0.79, 0.84]</span></td>
          <td id="T_6e74e_row5_col4" class="data row5 col4" ><span>0.84 [0.82, 0.85]</span></td>
          <td id="T_6e74e_row5_col5" class="data row5 col5" ><span>0.80 [0.78, 0.82]</span></td>
          <td id="T_6e74e_row5_col6" class="data row5 col6" ><span>17.62 [14.73, 20.51]</span></td>
          <td id="T_6e74e_row5_col7" class="data row5 col7" ><span>15.48 [13.50, 17.46]</span></td>
          <td id="T_6e74e_row5_col8" class="data row5 col8" ><span>-2.14 [-22.17, 17.90]</span></td>
          <td id="T_6e74e_row5_col9" class="data row5 col9" ><span>5.17 [3.80, 6.53]</span></td>
          <td id="T_6e74e_row5_col10" class="data row5 col10" ><span>31.18 [27.31, 35.06]</span></td>
          <td id="T_6e74e_row5_col11" class="data row5 col11" ><span>0.80 [0.74, 0.85]</span></td>
        </tr>
      </tbody>
    </table>

    </div>
    <br />
    <br />


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 22.599 seconds)

**Estimated memory usage:**  80 MB


.. _sphx_glr_download_auto_revalidation_gait_sequences__01_gsd_analysis.py:

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