imblearn.ensemble.BalancedBaggingClassifier.decision_function

BalancedBaggingClassifier.decision_function(X)[source]

Average of the decision functions of the base classifiers.

Parameters
X{array-like, sparse matrix} of shape (n_samples, n_features)

The training input samples. Sparse matrices are accepted only if they are supported by the base estimator.

Returns
scorendarray of shape (n_samples, k)

The decision function of the input samples. The columns correspond to the classes in sorted order, as they appear in the attribute classes_. Regression and binary classification are special cases with k == 1, otherwise k==n_classes.