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balanced_accuracy_score — scikit-learn 1.8.0 do...
1 , 0 , 0 , 1 , 0 ] >>> y_pred = [ 0 , 1 , 0 , 0 ,...each class. The best value is 1 and the worst value is 0 when...scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html -
Binarizer — scikit-learn 1.8.0 documentation
( X ) array([[1., 0., 1.], [1., 0., 0.], [0., 1., 0.]]) fit (...= [[ 1. , - 1. , 2. ], ... [ 2. , 0. , 0. ], ... [ 0. , 1. , -...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Binarizer.html -
QuadraticDiscriminantAnalysis — scikit-learn 1....
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal... -
randomized_svd — scikit-learn 1.8.0 documentation
approximation problem described in [1] (problem (1.5), p5). Refer to Wikipedia...n_iter=0 or 1 should even work fine in theory (see [1] page 9)....scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.randomized_svd.html -
OneToOneFeatureMixin — scikit-learn 1.8.0 docum...
This mixin assumes there’s a 1-to-1 correspondence between input...shape [ 1 ] ... return self >>> X = np . array ([[ 1 , 2 ], [...scikit-learn.org/stable/modules/generated/sklearn.base.OneToOneFeatureMixin.html -
RFE — scikit-learn 1.8.0 documentation
ranking_ array([1, 1, 1, 1, 1, 6, 4, 3, 2, 5]) decision_function...float, default=1 If greater than or equal to 1, then step corresponds...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html -
EllipticEnvelope — scikit-learn 1.8.0 documenta...
n_features + 1) / 2 * n_samples . Range is (0, 1). contamination...>>> # predict returns 1 for an inlier and -1 for an outlier >>>...scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html -
dcg_score — scikit-learn 1.8.0 documentation
asarray ([[ 1 , 0 , 0 , 0 , 1 ]]) >>> # by default ties...to have a score between 0 and 1. References Wikipedia entry for...scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html -
mean_tweedie_deviance — scikit-learn 1.8.0 docu...
power = 1 ) 1.4260... Gallery examples # Tweedie...Either power <= 0 or power >= 1. The higher p the less weight...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
cohen_kappa_score — scikit-learn 1.8.0 document...
which is a number between -1 and 1. The maximum value means complete...function computes Cohen’s kappa [1] , a score that expresses the...scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html