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sklearn.model_selection — scikit-learn 1....
cross_val_score Evaluate a score by cross-validation. cross_validate...cross-validation and also record fit/score times. learning_curve Learning...scikit-learn.org/stable/api/sklearn.model_selection.html -
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plot_classifier_comparison.rst.txt
y_train) score = clf.score(X_test, y_test) Decis...0.3, y_min + 0.3, ("%.2f" % score).lstrip("0"), size=15, hori...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
plot_kmeans_digits.rst.txt
homo homogeneity score compl completeness score v-meas V measure...clustering_metrics] # The silhouette score requires the full dataset results...scikit-learn.org/stable/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt -
Customer support search for knowledge bases &am...
See more customer stories Customer spotlight Docusign...cost businesses millions. Read story Customer spotlight To meet customer...www.elastic.co/enterprise-search/customer-support -
hamming_loss — scikit-learn 1.8.0 documen...
accuracy_score Compute the accuracy score. By default, the function will...Jaccard similarity coefficient score. zero_one_loss Compute the Zero-one...scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html -
completeness_score — scikit-learn 1.8.0 d...
label values won’t change the score value in any way. This metric...Returns : completeness float Score between 0.0 and 1.0. 1.0 stands...scikit-learn.org/stable/modules/generated/sklearn.metrics.completeness_score.html -
Introducing the set_output API — scikit-l...
arrays (scores, pvalues) or a single array with scores. Default...arrays (scores, pvalues) or a single array with scores. Default...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html -
Explicit feature map approximation for RBF kern...
score ( data_test , targets_test )...linear_svm_score = linear_svm . score ( data_test , targets_test )...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html -
1.16. Probability calibration — scikit-le...
Note Strictly proper scoring rules for probabilistic predictions...follows from the well-known Brier score decomposition of Murphy [ 1...scikit-learn.org/stable/modules/calibration.html