mobgap.pipeline.evaluation.icc#

mobgap.pipeline.evaluation.icc(
df: DataFrame,
reference_col_name: str = 'reference',
detected_col_name: str = 'detected',
) → tuple[float, float][source]#

Calculate the intraclass correlation coefficient (ICC) for the detected and reference values.

Parameters:
df

The DataFrame containing the reference and detected values.

reference_col_name

The identifier of the column containing the reference values.

detected_col_name

The identifier of the column containing the detected values.

Returns:
icc, ci95

A tuple containing the intraclass correlation coefficient (ICC) as first item and the lower and upper bound of its 95% confidence interval (CI95%) as second item.