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plot_classifier_comparison.zip
y_train) score = clf.score(X_test, y_test) Decis...clf.fit(X_train, y_train)\n score = clf.score(X_test, y_test)\n Dec...scikit-learn.org/stable/_downloads/ce35bcc69acbd491cf7ac77fa17889d5/plot_classifier_comparison.zip -
plot_hgbt_regression.ipynb
scoring=scorer)\nrmse = cv_results[\"test_score\"]\nprint(f\"RMSE...cv=ts_cv, scoring=scorer)\nrmse = cv_results[\"test_score\"]\nprint(f\"RMSE...scikit-learn.org/stable/_downloads/cb9a8a373677fb481fe43a11d8fa0e94/plot_hgbt_regression.ipynb -
Release Highlights for scikit-learn 0.23 — scik...
score ( X_test , y_test )) print ( gbdt . score ( X_test...sklearn.metrics import completeness_score from sklearn.model_selection...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_23_0.html -
learning_curve — scikit-learn 1.7.2 documentation
scoring str or callable, default=None Scoring method to...train_scores array of shape (n_ticks, n_cv_folds) Scores on training...scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html -
Compare Stochastic learning strategies for MLPC...
print ( "Training set score: %f " % mlp . score ( X , y )) print (...learning-rate Training set score: 0.980000 Training set loss:...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_training_curves.html -
Early stopping of Stochastic Gradient Descent —...
train_score , test_score = fit_and_score ( estimator ,...estimator . n_iter_ train_score = estimator . score ( X_train , y_train...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_early_stopping.html -
plot_multi_metric_evaluation.rst.txt
sample_score_mean - sample_score_std, sample_score_mean + sample_score_std,...: range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2,...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt -
Effect of model regularization on training and ...
"R$^2$ Score" , ) test_scores_mean = disp . test_scores . mean...param_range = alphas , scoring = "r2" , n_jobs = 2 , score_type = "both"...scikit-learn.org/stable/auto_examples/model_selection/plot_train_error_vs_test_error.html -
Multilabel classification using a classifier ch...
model_scores = [ ovr_jaccard_score ] + chain_jaccard_scores + [...X_test ) ovr_jaccard_score = jaccard_score ( Y_test , Y_pred_ovr...scikit-learn.org/stable/auto_examples/multioutput/plot_classifier_chain_yeast.html -
class_likelihood_ratios — scikit-learn 1.7.2 do...
to return the worst possible scores: {"LR+": 1.0, "LR-": 1.0} a...used for returning the worst scores, indicating a useless model,...scikit-learn.org/stable/modules/generated/sklearn.metrics.class_likelihood_ratios.html