sklearn.base.ClassifierMixin¶
- class sklearn.base.ClassifierMixin[source]¶
Mixin class for all classifiers in scikit-learn.
Methods
score(X, y[, sample_weight])Return the mean accuracy on the given test data and labels.
- score(X, y, sample_weight=None)[source]¶
Return 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 of shape (n_samples, n_features)
Test samples.
- yarray-like of shape (n_samples,) or (n_samples, n_outputs)
True labels for
X.- sample_weightarray-like of shape (n_samples,), default=None
Sample weights.
- Returns:
- scorefloat
Mean accuracy of
self.predict(X)w.r.t.y.
