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make_scorer — scikit-learn 1.7.2 documentation
Parameters : score_func callable Score function (or loss...default=True Whether score_func is a score function (default),...scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html -
validation_curve — scikit-learn 1.7.2 documenta...
test scores for varying parameter values. Compute scores for an...5-fold. scoring str or callable, default=None Scoring method to...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
Imputing missing values with variants of Iterat...
) scores = pd . concat ( [ score_full_data , score_simple_imputer...return cross_val_score ( estimator , X , y , scoring = "neg_mean_squared_error"...scikit-learn.org/stable/auto_examples/impute/plot_iterative_imputer_variants_comparison.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 -
Gradient Boosting Out-of-Bag estimates — scikit...
deviance scores on ``X_test`` and ``y_test``.""" score = np . zeros...y_train [ train ]) val_scores += heldout_score ( cv_clf , X_train...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.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 -
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 -
Wikipedia principal eigenvector — scikit-learn ...
i ) prev_scores = scores scores = ( alpha * ( scores * X + np...norm scores_max = np . abs ( scores ) . max () if scores_max ==...scikit-learn.org/stable/auto_examples/applications/wikipedia_principal_eigenvector.html -
L1 Penalty and Sparsity in Logistic Regression ...
69% Score with L1 penalty: 0.90 Score with Elastic-Net...penalty: 4.69% Score with L1 penalty: 0.90 Score with Elastic-Net...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html -
Precision-Recall — scikit-learn 1.7.2 documenta...
e_precision_score , sklearn.metrics.recall_score , sklearn.m...sklearn.metrics.precision_score , sklearn.metrics.f1_score # Authors: The...scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html