neural_trees.mcnemar_test#
- neural_trees.mcnemar_test(y_true, y_pred_A, y_pred_B, alpha: float = 0.05) TestResult[source]#
McNemar’s Test for comparing two classifiers on the same test set.
Examines the contingency table of disagreements between two classifiers. Less powerful than the 5×2cv F test but useful when you only have a fixed test set.
- Parameters:
- y_truearray-like of shape (n_samples,)
True labels.
- y_pred_Aarray-like of shape (n_samples,)
Predictions from classifier A.
- y_pred_Barray-like of shape (n_samples,)
Predictions from classifier B.
- alphafloat, default=0.05
- Returns:
- TestResult