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Classification of text documents using sparse f...
predict ( X_test ) test_time = time () - t0 print ( f "test time: {..., ) data_test = fetch_20newsgroups ( subset = "test" , categories...scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
10. Common pitfalls and recommended practices —...
X_test , y_train , y_test = train_test_split ( ......X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/common_pitfalls.html -
Kernel PCA — scikit-learn 1.5.0 documentation
X_test , y_train , y_test = train_test_split ( X ,..."Training data" ) test_ax . scatter ( X_test [:, 0 ], X_test [:, 1 ],...scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.html -
Post-tuning the decision threshold for cost-sen...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...model , X_test , y_test ), scoring [ "tpr" ]( model , X_test , y_test...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
Statistical comparison of models using grid sea...
"rank_test_score" , "mean_test_score" , "std_test_score" ]]...params rank_test_score mean_test_score std_test_score kernel...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_stats.html -
PredefinedSplit — scikit-learn 1.5.0 documentation
Provides train/test indices to split data into train/test sets using...The entry test_fold[i] represents the index of the test set that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.PredefinedSplit.html -
Introducing the set_output API — scikit-learn 1...
X_test , y_train , y_test = train_test_split ( X ,...X_train ) X_test_scaled = scaler . transform ( X_test ) X_test_scaled...scikit-learn.org/stable/auto_examples/miscellaneous/plot_set_output.html -
Faces recognition example using eigenfaces and ...
X_test , y_train , y_test = train_test_split ( X , y , test_size...set and a test and keep 25% of the data for testing. X_train ,...scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html -
MLPRegressor — scikit-learn 1.5.0 documentation
X_test , y_train , y_test = train_test_split ( X ,...-7.1...]) >>> regr . score ( X_test , y_test ) 0.4... fit ( X , y ) [source]...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
Face completion with a multi-output estimators ...
randint ( test . shape [ 0 ], size = ( n_faces ,)) test = test [ face_ids...2 :] X_test = test [:, : ( n_pixels + 1 ) // 2 ] y_test = test...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html