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Multiclass Receiver Operating Characteristic (R...
1 ], [ 0 , 1 ], "k--" , label = "Chance...xlim = ( - 0.01 , 1.01 ), ylim = ( - 0.01 , 1.01 ), ) We confirm...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html -
Gradient Boosting Out-of-Bag estimates — scikit...
subsample < 1.0 ), the estimates are derived...y = random_state . binomial ( 1 , p , size = n_samples ) X = np...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
d2_log_loss_score — scikit-learn 1.6.1 document...
Best possible score is 1.0 and it can be negative (because...User Guide . Added in version 1.5. Parameters : y_true array-like...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html -
Dataset examples — scikit-learn 1.6.1 documenta...
Examples concerning the sklearn.datasets module. Plot randomly generated multilabel datasetscikit-learn.org/stable/auto_examples/datasets/index.html -
Ensemble methods — scikit-learn 1.6.1 documenta...
Examples concerning the sklearn.ensemble module. Categorical Feature Support in Gradient Boosting Combine predictors using stacking Comparing Random Forests and Histogram Gradient Boosting models C...scikit-learn.org/stable/auto_examples/ensemble/index.html -
Feature Selection — scikit-learn 1.6.1 document...
Examples concerning the sklearn.feature_selection module. Comparison of F-test and mutual information Model-based and sequential feature selection Pipeline ANOVA SVM Recursive feature elimination R...scikit-learn.org/stable/auto_examples/feature_selection/index.html -
Decision Trees — scikit-learn 1.6.1 documentation
Examples concerning the sklearn.tree module. Decision Tree Regression Plot the decision surface of decision trees trained on the iris dataset Post pruning decision trees with cost complexity prunin...scikit-learn.org/stable/auto_examples/tree/index.html -
Multiclass methods — scikit-learn 1.6.1 documen...
Examples concerning the sklearn.multiclass module. Overview of multiclass training meta-estimatorsscikit-learn.org/stable/auto_examples/multiclass/index.html -
Multioutput methods — scikit-learn 1.6.1 docume...
Examples concerning the sklearn.multioutput module. Multilabel classification using a classifier chainscikit-learn.org/stable/auto_examples/multioutput/index.html -
is_classifier — scikit-learn 1.6.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version is_classifier # sklearn.base. is_classifier ( estimat...scikit-learn.org/stable/modules/generated/sklearn.base.is_classifier.html