PegasosQSVC.score¶
- PegasosQSVC.score(X, y, sample_weight=None)¶
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:
X (array-like of shape (n_samples, n_features)) -- Test samples.
y (array-like of shape (n_samples,) or (n_samples, n_outputs)) -- True labels for X.
sample_weight (array-like of shape (n_samples,), default=None) -- Sample weights.
- Returns:
score -- Mean accuracy of
self.predict(X)w.r.t. y.- Return type: