sklearn.base.ClassifierMixin¶

class sklearn.base.ClassifierMixin[source]¶

Mixin class for all classifiers in scikit-learn.

Methods

score(self, X, y[, sample_weight])

Returns the mean accuracy on the given test data and labels.

__init__(self, /, *args, **kwargs)¶

Initialize self. See help(type(self)) for accurate signature.

score(self, X, y, sample_weight=None)[source]¶

Returns the mean accuracy on the given test data and labels.

In multi-label classification, this is the subset accuracy which is a harsh metric since you require for each sample that each label set be correctly predicted.

Parameters

Xarray-like, shape = (n_samples, n_features)

Test samples.

yarray-like, shape = (n_samples) or (n_samples, n_outputs)

True labels for X.

sample_weightarray-like, shape = [n_samples], optional

Sample weights.

Returns

scorefloat

Mean accuracy of self.predict(X) wrt. y.