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LeavePGroupsOut — scikit-learn 1.6.1 documentation
f " Test: index= { test_index } , group= { groups [ test_index...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html -
getting_started.rst.txt
X_test, y_train, y_test = train_test_split(X, y, random_state=0)...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)...scikit-learn.org/stable/_sources/getting_started.rst.txt -
LeaveOneOut — scikit-learn 1.6.1 documentation
Provides train/test indices to split data in train/test sets. Each..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html -
GridSearchCV — scikit-learn 1.6.1 documentation
'rank_test_score', 'split0_test_score',... 'split2_test_score',...'mean_test_score' : [ 0.81 , 0.60 , 0.75 , 0.85 ], 'std_test_score'...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html -
SVM Exercise — scikit-learn 1.6.0 documentation
out the test data plt . scatter ( X_test [:, 0 ], X_test [:, 1...n_sample )] X_test = X [ int ( 0.9 * n_sample ) :] y_test = y [ int...scikit-learn.org/stable/auto_examples/exercises/plot_iris_exercise.html -
ValidationCurveDisplay — scikit-learn 1.6.1 doc...
test_scores = test_scores , score_name =...param_range , train_scores , test_scores , score_name = None )...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
Release Highlights for scikit-learn 0.22 — scik...
X_test , y_train , y_test = train_test_split ( X ,...plot_roc_curve(svc, X_test, y_test) # rfc_disp = plot_roc_curve(rfc, X_test, y_test,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_22_0.html -
Post pruning decision trees with cost complexit...
X_test , y_train , y_test = train_test_split ( X ,...clfs ] test_scores = [ clf . score ( X_test , y_test ) for clf...scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.html -
OneVsOneClassifier — scikit-learn 1.6.1 documen...
X_test , y_train , y_test = train_test_split ( ......sklearn.model_selection import train_test_split >>> from sklearn.multiclass...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html -
plot_hgbt_regression.py
import train_test_split X_train, X_test, y_train, y_test = train_test_split(X,...train_test_split(X, y, test_size=0.4, shuffle=False) print(f"Training...scikit-learn.org/stable/_downloads/d108f2283ac3905eb623b32d42217a2b/plot_hgbt_regression.py