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LogisticRegressionCV — scikit-learn 1.7.2 docum...
scoring str or callable, default=None The scoring method...confidence scores for samples. The confidence score for a sample...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html -
Plot the decision surfaces of ensembles of tree...
95 score RandomForestClassifi () # 0.94 score AdaBoost...0.94 score DecisionTree ( max_depth = None ) # 0.94 score Increasing...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.html -
Comparing Random Forests and Histogram Gradient...
"Train time vs score" , "Predict time vs score" ], ) model_names...cv_results , x = "mean_score_time" , y = "mean_test_score" , error_x =...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_hist_grad_boosting_comparison.html -
2.3. Clustering — scikit-learn 1.7.2 documentation
concept as scores homogeneity_score and completeness_score . Both...Furthermore, both rand_score and adjusted_rand_score are symmetric :...scikit-learn.org/stable/modules/clustering.html -
11. Common pitfalls and recommended practices —...
import cross_val_score >>> scores = cross_val_score ( pipeline ,...accuracy: { scores . mean () : .2f } +/- { scores . std () : .2f...scikit-learn.org/stable/common_pitfalls.html -
PLSCanonical — scikit-learn 1.7.2 documentation
Return x_scores if y is not given, (x_scores, y_scores) otherwise....Return x_scores if y is not given, (x_scores, y_scores) otherwise....scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
clustering.rst.txt
_rand_score: .. _adjusted_rand_score: Rand index ----------...:func:`rand_score` and :func:`adjusted_rand_score` are **symmetric**:...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
ExtraTreesRegressor — scikit-learn 1.7.2 docume...
the generalization score. By default, r2_score is used. Provide...number of outputs. oob_score_ float Score of the training dataset...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
OrthogonalMatchingPursuit — scikit-learn 1.7.2 ...
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.linear_model.OrthogonalMatchingPursuit.html -
homogeneity_completeness_v_measure — scikit-lea...
completeness and V-Measure scores at once. Those metrics are...elements of the same cluster. Both scores have positive values between...scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_completeness_v_measure.html