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homogeneity_score — scikit-learn 1.7.2 do...
2 ])) 1.000000 >>> print...([ 0 , 0 , 1 , 1 ], [ 0 , 1 , 2 , 3 ])) 1.000000 Clusters that...scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_score.html -
SpectralCoclustering — scikit-learn 1.7.2...
[ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...SpectralCoclustering ( n_clusters = 2 , random_state = 0 ) . fit ( X...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html -
DecisionBoundaryDisplay — scikit-learn 1....
2) Input data that should be only 2-dimensional....() . fit ( iris . data [:, : 2 ], iris . target ) >>>...scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
make_scorer — scikit-learn 1.7.2 document...
beta = 2 ) >>> ftwo_scorer ma...response_method='predict', beta=2) >>> from sklearn.model_selection...scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html -
SGDRegressor — scikit-learn 1.7.2 documen...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...coefficient of determination, \(R^2\) , is defined as \((1 - \frac{u}{v})\)...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
make_multilabel_classification — scikit-l...
n_labels = 2 , length = 50 , allow_unlabeled...problem. n_labels int, default=2 The average number of labels per...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_multilabel_classification.html -
adjusted_mutual_info_score — scikit-learn...
JMLR [ 2 ] Wikipedia entry for the Adjusted...([ 0 , 0 , 0 , 0 ], [ 0 , 1 , 2 , 3 ]) 0.0 Gallery examples #...scikit-learn.org/stable/modules/generated/sklearn.metrics.adjusted_mutual_info_score.html -
StandardScaler — scikit-learn 1.7.2 docum...
transform ([[ 2 , 2 ]])) [[3. 3.]] fit ( X , y =...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Release Highlights...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html -
validation_curve — scikit-learn 1.7.2 doc...
scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
RandomForestClassifier — scikit-learn 1.7...
min_samples_split = 2 , min_samples_leaf = 1 , min_...min_samples_split int or float, default=2 The minimum number of samples...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html