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f_regression — scikit-learn 1.8.0 documentation
)) It is converted to an F score and then to a p-value. f_regression...features based on the k highest scores. SelectFpr Select features...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_regression.html -
KMeans — scikit-learn 1.8.0 documentation
score ( X , y = None , sample_weight...assigned equal weight. Returns : score float Opposite of the value...scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html -
DummyRegressor — scikit-learn 1.8.0 documentation
score ( X , y ) 0.0 fit ( X , y ,...distribution of query points. score ( X , y , sample_weight = None...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html -
GenericUnivariateSelect — scikit-learn 1.8.0 do...
of feature scores, None if score_func returned scores only. n_features_in_...returning a pair of arrays (scores, pvalues). For modes ‘percentile’...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.GenericUnivariateSelect.html -
SelectFpr — scikit-learn 1.8.0 documentation
returning a pair of arrays (scores, pvalues). Default is f_classif...array-like of shape (n_features,) Scores of features. pvalues_ array-like...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html -
d2_brier_score — scikit-learn 1.8.0 documentation
# \(D^2\) score function, fraction of Brier score explained....explained. Best possible score is 1.0 and it can be negative because the...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_brier_score.html -
2.7. Novelty and Outlier Detection — scikit-lea...
of a threshold on the raw scoring function computed by the estimator....estimator. This scoring function is accessible through the score_samples...scikit-learn.org/stable/modules/outlier_detection.html -
Recursive feature elimination with cross-valida...
the cross-validated scores. The scoring strategy “accuracy” optimizes...clf , step = 1 , cv = cv , scoring = "accuracy" , min_features_to_select...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html -
A demo of the Spectral Co-Clustering algorithm ...
print ( "consensus score: {:.3f} " . format ( score )) fit_data =...found the biclusters. consensus score: 1.000 # Authors: The scikit-learn...scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_coclustering.html -
3.3. Tuning the decision threshold for class pr...
point is addressed by providing scores using predict_proba or decision_function...the latter returns a decision score for each class. The decision...scikit-learn.org/stable/modules/classification_threshold.html