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Post-hoc tuning the cut-off point of decision f...
steps [('standardscaler', ...), ('logisticregression', ...)] transform_input...Pipeline(steps=[('standardscaler', StandardScaler()), ('logisticregression',...scikit-learn.org/stable/auto_examples/model_selection/plot_tuned_decision_threshold.html -
Confusion matrix — scikit-learn 1.7.2 documenta...
confusion matrix [[1. 0. 0. ] [0. 0.62 0.38] [0. 0. 1. ]] # Authors: The...classifier = svm . SVC ( kernel = "linear" , C = 0.01 ) . fit ( X_train...scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html -
Robust linear estimator fitting — scikit-learn ...
"-" , "Theil-Sen" : "-." , "RANSAC" : "--" , "HuberRegressor"...= ( 5 , 4 )) plt . plot ( this_X [:, 0 ], this_y , "b+" ) for...scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html -
Detection error tradeoff (DET) curve — scikit-l...
classifiers . items (): ( color , linestyle ) = ( ( "black" , "--" ) if...make_pipeline ( StandardScaler (), LinearSVC ( C = 0.025 )), "Random...scikit-learn.org/stable/auto_examples/model_selection/plot_det.html -
Comparing Nearest Neighbors with and without Ne...
"#FF0000" , "#00FF00" , "#0000FF" ]) names = [ "KNN" , "NCA,...{} )" . format ( name , n_neighbors )) plt . text ( 0.9 , 0.1 ,...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_classification.html -
Recursive feature elimination — scikit-learn 1....
"scaler" , MinMaxScaler ()), ( "rfe" , RFE ( estimator = LogisticRegression...LogisticRegression (), n_features_to_select = 1 , step = 1 )), ] ) pipe . fit...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html -
Model-based and sequential feature selection — ...
Statistics (with discussion), 407-499. (https://web.stanford.edu/~ha...= np . logspace ( - 6 , 6 , num = 5 )) . fit ( X , y ) importance...scikit-learn.org/stable/auto_examples/feature_selection/plot_select_from_model_diabetes.html -
Permutation Importance vs Random Forest Feature...
'random_cat']), ('num', SimpleImputer(), ['age', 'sibsp', 'parch', 'fare',...', unknown_value=-1), ['pclass', 'sex', 'embarked', 'random_cat']),...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html -
Ledoit-Wolf vs OAS estimation — scikit-learn 1....
oa_mse . mean ( 1 ), yerr = oa_mse . std ( 1 ), label = "OAS" , color...( 1 ), label = "Ledoit-Wolf" , color = "navy" , lw = 2 , ) plt...scikit-learn.org/stable/auto_examples/covariance/plot_lw_vs_oas.html -
Plot randomly generated multilabel dataset — sc...
Class P(C) P(w0|C) P(w1|C) red 0.32 0.55 0.45 blue 0.26 0.79 0.21...= np . array ( [ "!" , "#FF3333" , # red "#0198E1" , # blue "#BF5FFF"...scikit-learn.org/stable/auto_examples/datasets/plot_random_multilabel_dataset.html