![]() ![]() feature_importance_permutation: Estimate feature importance via feature permutation.create_counterfactual: Interpreting models via counterfactuals.confusion_matrix: creating a confusion matrix for model evaluation.combined_ftest_5x2cv: 5x2cv combined *F* test for classifier comparisons.cochrans_q: Cochran's Q test for comparing multiple classifiers.BootstrapOutOfBag: A scikit-learn compatible version of the out-of-bag bootstrap.bootstrap: The ordinary nonparametric boostrap for arbitrary parameters.bias_variance_decomp: Bias-variance decomposition for classification and regression losses.accuracy_score: Computing standard, balanced, and per-class accuracy.wine_data: A 3-class wine dataset for classification.three_blobs_data: The synthetic blobs for classification.mnist_data: A subset of the MNIST dataset for classification. ![]()
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