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SelectFpr — scikit-learn 1.5.0 documentation
a FPR test. FPR test stands for False Positive Rate test. It controls...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html -
FixedThresholdClassifier — scikit-learn 1.5.0 d...
X_test , y_train , y_test = train_test_split ( ......confusion_matrix ( y_test , classifier . predict ( X_test ))) [[217 7]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html -
Permutation Importance with Multicollinear or C...
X_test , y_train , y_test = train_test_split ( X ,...accuracy on test data: { clf . score ( X_test , y_test ) : .2 }...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance_multicollinear.html -
GradientBoostingClassifier — scikit-learn 1.5.0...
X_test = X [: 2000 ], X [ 2000 :] >>> y_train , y_test = y...y_train ) >>> clf . score ( X_test , y_test ) 0.913... apply ( X ) [source]...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html -
Column Transformer with Mixed Types — scikit-le...
X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test ) : .3f } " ) accuracy of the best model...scikit-learn.org/stable/auto_examples/compose/plot_column_transformer_mixed_types.html -
Post-hoc tuning the cut-off point of decision f...
Series ( [ est . best_threshold_ for est in cv_results_tuned_model...value_counts () class tested_negative 500 tested_positive 268 Name:...scikit-learn.org/stable/auto_examples/model_selection/plot_tuned_decision_threshold.html -
DetCurveDisplay — scikit-learn 1.5.0 documentation
X_test , y_train , y_test = train_test_split ( ......X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/modules/generated/sklearn.metrics.DetCurveDisplay.html -
StratifiedKFold — scikit-learn 1.5.0 documentation
Provides train/test indices to split data in train/test sets. This..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
Comparing random forests and the multi-output m...
X_test , y_train , y_test = train_test_split ( X ,...predict ( X_test ) y_rf = regr_rf . predict ( X_test ) # Plot the...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html -
Explicit feature map approximation for RBF kern...
the second half: data_test , targets_test = ( data [ n_samples...2 :]) # data_test = scaler.transform(data_test) # Create a classifier:...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html