holisticai.explainability.metrics.surrogate_fidelity_regression

holisticai.explainability.metrics.surrogate_fidelity_regression(y_pred, y_surrogate)

Calculate the surrogate fidelity for regression models.

This function evaluates how well a surrogate model’s predictions match the predictions of the original model.

Parameters: y_pred (array-like): Predictions from the original model. y_surrogate (array-like): Predictions from the surrogate model.

Returns: float: A fidelity score indicating how closely the surrogate model’s

predictions match the original model’s predictions.