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.
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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)
wrt.y
.
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