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API Reference — scikit-learn 1.6.1 documentation
feature_selection f_classif Compute the ANOVA F-value for the provided...score, also known as balanced F-score or F-measure. sklearn.metrics...scikit-learn.org/stable/api/index.html -
Ability of Gaussian process regression (GPR) to...
title ( ( f "Initial: { kernel } \n Optimum:...\n Log-Marginal-Likelihood: " f " { gpr . log_marginal_likelihood...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy.html -
Statistical comparison of models using grid sea...
AUC scores across folds print ( f "Correlation of models: \n { model_scores..., n_train , n_test ) print ( f "Corrected t-value: { t_stat :...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_stats.html -
Post-tuning the decision threshold for cost-sen...
the business metric: print ( f "Business defined metric: { scoring...( X_train , y_train ) print ( f " { tuned_model . best_threshold_...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
fbeta_score — scikit-learn 1.6.1 documentation
[source] # Compute the F-beta score. The F-beta score is the weighted...precision. The formula for F-beta score is: \[F_\beta = \frac{(1 + \beta^2)...scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html -
load_svmlight_file — scikit-learn 1.6.1 documen...
load_svmlight_file ( f , * , n_features=None , dtype=<class...mblondel/svmlight-loader Parameters : f str, path-like, file-like or int...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_file.html -
Release Highlights for scikit-learn 1.5 — sciki...
5" ) print ( f "Custom score: { custom_score...custom_scorer ) . fit ( X , y ) print ( f "Tuned decision threshold: { tuned_classifier...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html -
Semi-supervised Classification on a Text Datase...
"Supervised SGDClassifier on 100 % o f the data:" ) eval_and_print_metrics..."Supervised SGDClassifier on 20 % o f the training data:" ) eval_and_print_metrics...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html -
Release Highlights for scikit-learn 1.1 — sciki...
H print ( f "relative reconstruction error: " , f " { np . sum...max_iter = 50 ) hist_quantiles = { f "quantile= { quantile : .2f }...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_1_0.html -
LeaveOneOut — scikit-learn 1.6.1 documentation
print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index } " ) ... print ( f " Test: index= { test_index }...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html