calibration_curve#
- EstimatorReport.inspection.calibration_curve(*, data_source='test', n_bins=5, strategy='quantile')[source]#
Display the calibration curve.
This method is available for binary classification reports. It computes the calibration curve data for each report and returns a display that can be plotted with
CalibrationDisplay.plot().- Parameters:
- data_source{“test”, “train”}, default=”test”
The data source for the calibration curve. If None, the default data source is used.
- n_binsint, default=5
The number of bins to use for the calibration curve. Default is 5.
- strategy{“uniform”, “quantile”}, default=”quantile”
The strategy to use for binning. Default is “uniform”.
- Returns:
CalibrationDisplayThe calibration curve display.
CalibrationDisplay.plot()for more details.