Module calibration

The Calibration module within this COMBAT package provides essential functionalities for evaluating and refining the calibration of predictive models. With a focus on ensuring model reliability and accuracy, this module equips users with tools to assess calibration curves, Expected Calibration Error (ECE), and perform model calibration adjustments as necessary. The functionalities within this module empower users to fine-tune their predictive models, enhancing their performance across various domains.

Functions within the Calibration module:

1. ExpectedCalibrationError - calculate the Expected Calibration Error (ECE), a metric used to quantify the calibration performance of a probabilistic classification model.

2. CalibrationModel - implement a calibration model to adjust the calibration of predictive models.

3. PredictionCalibration - perform prediction calibration by applying calibration techniques to predicted probabilities

4. CalibrationCurve - generate a calibration curve to visually assess the calibration performance of a predictive model.

The Calibration module serves as a crucial component in the toolkit for model evaluation and refinement, enabling users to enhance the reliability and accuracy of their predictive models through comprehensive calibration analysis and adjustment.