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ndcg_score — scikit-learn 1.7.2 documenta...
some scores (relevance) for the answers >>> scores = np...true_relevance , scores ) 0.69 >>> scores = np . asarray...scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html -
ElasticNetCV — scikit-learn 1.7.2 documen...
Notes The \(R^2\) score used when calling score on a regressor uses...giving the best prediction score is used. Note that a good choice...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
brier_score_loss — scikit-learn 1.7.2 doc...
the Brier score loss. The smaller the Brier score loss, the better,...outcome. The Brier score is a strictly proper scoring rule. Read more...scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
RFECV — scikit-learn 1.7.2 documentation
scoring str or callable, default=None Scoring method to...classes_ . score ( X , y , ** score_params ) [source] # Score using...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
4. Metadata Routing — scikit-learn 1.7.2 ...
metadata to a method like fit or score , the object consuming the metadata,...n_samples ) 4.1.1. Weighted scoring and fitting # The splitter...scikit-learn.org/stable/metadata_routing.html -
sklearn.metrics — scikit-learn 1.7.2 docu...
Compute the F1 score, also known as balanced F-score or F-measure....Choose version sklearn.metrics # Score functions, performance metrics,...scikit-learn.org/stable/api/sklearn.metrics.html -
Wikipedia principal eigenvector — scikit-...
prev_scores = scores scores = ( alpha * ( scores * X + np . dot...< n * tol : return scores return scores print ( "Computing...scikit-learn.org/stable/auto_examples/applications/wikipedia_principal_eigenvector.html -
Lasso — scikit-learn 1.7.2 documentation
Notes The \(R^2\) score used when calling score on a regressor uses...(n_samples,) Returns predicted values. score ( X , y , sample_weight = None...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html -
GradientBoostingClassifier — scikit-learn...
squared error with improvement score by Friedman, ‘squared_error’...terminate training when validation score is not improving. By default...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html -
FixedThresholdClassifier — scikit-learn 1...
predict_proba ) or decision scores (i.e. output of decision_function...predict_proba ) or decision scores (i.e. output of decision_function...scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html