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hamming_loss — scikit-learn 1.7.2 documentation
2 , 3 , 4 ] >>> y_true = [ 2 , 2 , 3 , 4 ] >>>...[ 1 , 1 ]]), np . zeros (( 2 , 2 ))) 0.75 Gallery examples #...scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html -
v_measure_score — scikit-learn 1.7.2 documentation
2 ], [ 0 , 0 , 1 , 1 ])) 0.8 >>>...% v_measure_score ([ 0 , 1 , 2 , 3 ], [ 0 , 0 , 1 , 1 ])) 0.67...scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html -
kmeans_plusplus — scikit-learn 1.7.2 documentation
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ], [ 10 , 4...n_clusters = 2 , random_state = 0 ) >>> centers array([[10, 2], [ 1,...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
CalibratedClassifierCV — scikit-learn 1.7.2 doc...
2. method {‘sigmoid’, ‘isotonic’},...Zadrozny & C. Elkan, ICML 2001 [ 2 ] Transforming Classifier Scores...scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html -
mean_poisson_deviance — scikit-learn 1.7.2 docu...
scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
AdaBoostClassifier — scikit-learn 1.7.2 documen...
implements the algorithm based on [2] . Read more in the User Guide...max_depth=1 . Added in version 1.2: base_estimator was renamed to...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html -
recall_score — scikit-learn 1.7.2 documentation
scikit-learn.org/stable/modules/generated/sklearn.metrics.recall_score.html -
silhouette_samples — scikit-learn 1.7.2 documen...
defined if number of labels is 2 <= n_labels <= n_samples - 1 ....Applied Mathematics 20: 53-65. [ 2 ] Wikipedia entry on the Silhouette...scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_samples.html -
accuracy_score — scikit-learn 1.7.2 documentation
2 , 1 , 3 ] >>> y_true = [ 0 , 1 , 2 , 3 ] >>> accuracy_score...], [ 1 , 1 ]]), np . ones (( 2 , 2 ))) 0.5 Gallery examples # Plot...scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html -
7.3. Preprocessing data — scikit-learn 1.7.2 do...
2. , 1. , 0.1], [4.4, 2.2, 1.1, 0.1], [4.4, 2.2, 1.2, 0.1],...\((X_1, X_2)\) to \((1, X_1, X_2, X_1^2, X_1X_2, X_2^2)\) . In...scikit-learn.org/stable/modules/preprocessing.html