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Model-based and sequential feature selection — ...
print ( f "ROC AUC score: { roc_auc_score ( y , model . predict_proba...features based a cross-validation score. That is, we start with 0 features...scikit-learn.org/stable/auto_examples/feature_selection/plot_select_from_model_diabetes.html -
Permutation Importance vs Random Forest Feature...
score ( X_train , y_train ) : .3f...f "RF test accuracy: { rf . score ( X_test , y_test ) : .3f }...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html -
Release Highlights for scikit-learn 1.4 — sciki...
print ( f "ROC AUC score is { roc_auc_score ( y_test , y_decision...hyperparameter_grid , cv = inner_cv , scoring = scoring_inner_cv , ) outer_cv...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_4_0.html -
zero_one_loss — scikit-learn 1.6.1 documentation
also accuracy_score Compute the accuracy score. By default, the...jaccard_score Compute the Jaccard similarity coefficient score. Notes...scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html -
ExtraTreeRegressor — scikit-learn 1.6.1 documen...
Notes The \(R^2\) score used when calling score on a regressor uses...default value of r2_score . This influences the score method of all...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeRegressor.html -
Version 0.16 — scikit-learn 1.6.1 documentation
f1_score , sklearn.metrics.fbeta_score , sklearn.metrics.recall_score...sklearn.metrics.recall_score and sklearn.metrics.precision_score when performing...scikit-learn.org/stable/whats_new/v0.16.html -
DummyClassifier — scikit-learn 1.6.1 documentation
score ( X , y ) 0.75 fit ( X , y ,...arithmetically, for each output. score ( X , y , sample_weight = None...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
SVC — scikit-learn 1.6.1 documentation
(n_classes * (n_classes - 1) / 2) score ( X , y , sample_weight = None...default=None Sample weights. Returns : score float Mean accuracy of self.predict(X)...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
MNIST classification using multinomial logistic...
coef_ == 0 ) * 100 score = clf . score ( X_test , y_test ) #...print ( "Test score with L1 penalty: %.4f " % score ) coef = clf...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html -
sklearn.metrics — scikit-learn 1.6.1 documentation
accuracy_score Accuracy classification score. auc Compute...from prediction scores. balanced_accuracy_score Compute the balanced...scikit-learn.org/stable/api/sklearn.metrics.html