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cross_validate — scikit-learn 1.6.1 documentation
dict are: test_score The score array for test scores on each cv split....multiple scoring metrics in the scoring parameter. train_score The...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html -
getting_started.rst.txt
>>> result['test_score'] # r_squared score is high because dataset...sets, and compute the accuracy score of a pipeline on the test data::...scikit-learn.org/stable/_sources/getting_started.rst.txt -
MultinomialNB — scikit-learn 1.6.1 documentation
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.naive_bayes.MultinomialNB.html -
model_evaluation.rst.txt
ion_score` 'neg_brier_score' :func:`metrics.brier_score_loss`...l_info_score` 'rand_score' :func:`metrics.rand_score` 'v_measure_score'...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
Release Highlights for scikit-learn 0.22 — scik...
score ( X_test , y_test ) 0.9473684210526315...classification # The roc_auc_score function can also be used in...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html -
Plotting Learning Curves and Checking Models’ S...
terms of training score and testing score. Here, we compute the...[: 2 ], [ "Training Score" , "Test Score" ]) ax [ ax_idx ] ....scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html -
Adjustment for chance in clustering performance...
( score_name , score_func ) in zip ( "d^vx.," , score_funcs...): scores = fixed_classes_uniform_labelings_scores ( score_func...scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html -
Imputing missing values with variants of Iterat...
N_SPLITS ) scores = pd . concat ( [ score_full_data , score_simple_imputer...BayesianRidge () score_full_data = pd . DataFrame ( cross_val_score ( br_estimator...scikit-learn.org/stable/auto_examples/impute/plot_iterative_imputer_variants_comparison.html -
SVM-Anova: SVM with univariate feature selectio...
import cross_val_score score_means = list () score_stds = list ()...) this_scores = cross_val_score ( clf , X , y ) score_means ....scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html -
Imputing missing values before building an esti...
and score # Now we will write a function which will score the...regressor ) impute_scores = cross_val_score ( estimator , X_missing...scikit-learn.org/stable/auto_examples/impute/plot_missing_values.html