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Scalable learning with polynomial kernel approx...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , train_size = 5_000 , test_size = 10_000...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
StratifiedGroupKFold — scikit-learn 1.6.0 docum...
print ( f " Test: index= { test_index } " ) ... print...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
Version 0.13 — scikit-learn 1.7.dev0 documentation
train_test_split being interpreted as a test by Yaroslav...Changed default test_size in cross_validation.train_test_split to None,...scikit-learn.org/dev/whats_new/v0.13.html -
Detection error tradeoff (DET) curve — scikit-l...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( clf , X_test , y_test , ax = ax_roc , name = name...scikit-learn.org/stable/auto_examples/model_selection/plot_det.html -
ROC Curve with Visualization API — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( svc , X_test , y_test ) plt . show () Training...scikit-learn.org/stable/auto_examples/miscellaneous/plot_roc_curve_visualization_api.html -
5. Visualizations — scikit-learn 1.6.0 document...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( svc , X_test , y_test ) The returned svc_disp...scikit-learn.org/stable/visualizations.html -
Glossary of Common Terms and API Elements — sci...
common tests # This refers to the tests run on almost...(train_idx, test_idx) pairs. Each of {train,test}_idx is a 1d...scikit-learn.org/dev/glossary.html -
Probability Calibration for 3-class classificat...
y [: 1000 ] X_test , y_test = X [ 1000 :], y [ 1000...log_loss ( y_test , clf_probs ) cal_score = log_loss ( y_test , cal_clf_probs...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.html -
1.13. Feature selection — scikit-learn 1.6.0 do...
the best features based on univariate statistical tests. It can...we can use a F-test to retrieve the two best features for a dataset...scikit-learn.org/stable/modules/feature_selection.html -
Comparing Nearest Neighbors with and without Ne...
X_test , y_train , y_test = train_test_split ( X ,...score = clf . score ( X_test , y_test ) _ , ax = plt . subplots...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_classification.html