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auc — scikit-learn 1.7.2 documentation
2 , 2 ]) >>> y_score = np . array...y_true , y_score , pos_label = 2 ) >>> metrics . auc ( fpr , tpr...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
train_test_split — scikit-learn 1.7.2 documenta...
2 1 4.9 3.0 1.4 0.2 2 4.7 3.2 1.3 0.2 3 4.6 3.1 1.5...1.4 0.2 122 7.7 2.8 6.7 2.0 >>> y_train . head () 96 1 105 2 66...scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html -
TheilSenRegressor — scikit-learn 1.7.2 document...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_samples = 200 , n_features = 2 , noise = 4.0 , random_state =...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
f_classif — scikit-learn 1.7.2 documentation
n_informative = 2 , n_clusters_per_class = 1 , ......, y ) >>> f_statistic array([2.21e+02, 7.02e-01, 1.70e+00, 9.31e-01,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_classif.html -
OneVsOneClassifier — scikit-learn 1.7.2 documen...
X_test [: 10 ]) array([2, 1, 0, 2, 0, 2, 0, 1, 1, 1]) decision_function...n_classes * (n_classes - 1) / 2 classifiers, this method is usually...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html -
brier_score_loss — scikit-learn 1.7.2 documenta...
2 , 0.7 , 0.1 ], [ 0.2 , 0.2 , 0.6 ]], ... labels...by 1/2 to lie in the [0, 1] range instead of the [0, 2] range....scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
mean_pinball_loss — scikit-learn 1.7.2 document...
2 , 3 ] >>> mean_pinball_loss ( y_true , [ 0 , 2 , 3 ],...mean_pinball_loss ( y_true , [ 1 , 2 , 4 ], alpha = 0.1 ) 0.3... >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html -
Nystroem — scikit-learn 1.7.2 documentation
2 , ... random_state = 1 , ... n_components...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.Nystroem.html -
LassoLarsCV — scikit-learn 1.7.2 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html -
TSNE — scikit-learn 1.7.2 documentation
2 - 0.8. Angle less than 0.2 has quickly increasing...sklearn.manifold. TSNE ( n_components = 2 , * , perplexity = 30.0 , early_exaggeration...scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html