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Target Encoder’s Internal Cross fitting — sciki...
X_test , y_train , y_test = train_test_split ( X ,...score on test set: " , raw_model . score ( X_test , y_test )) Raw...scikit-learn.org/stable/auto_examples/preprocessing/plot_target_encoder_cross_val.html -
Classifier comparison — scikit-learn 1.6.0 docu...
y_test = train_test_split ( X , y , test_size = 0.4 , random_state...the testing points ax . scatter ( X_test [:, 0 ], X_test [:,...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
Comparing various online solvers — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...( X_test ) yy_ . append ( 1 - np . mean ( y_pred == y_test ))...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html -
Probability Calibration curves — scikit-learn 1...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( clf , X_test , y_test , n_bins = 10 , name = name...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_curve.html -
plot_classifier_comparison.py
and test part X, y = ds X_train, X_test, y_train, y_test = train_test_split(...Plot the testing points ax.scatter( X_test[:, 0], X_test[:, 1],...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
preprocessing.rst.txt
K_{test} - 1'_{\text{n}_{samples}} K - K_{test} 1_{\text{n}_{samples}}...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
Permutation Importance vs Random Forest Feature...
X_test , y_train , y_test = train_test_split ( X ,...( f "RF test accuracy: { rf . score ( X_test , y_test ) : .3f...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html -
ShrunkCovariance — scikit-learn 1.6.0 documenta...
: X_test array-like of shape (n_samples, n_features) Test data...the observations. score ( X_test , y = None ) [source] # Compute...scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html -
Gradient Boosting regularization — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...( X_test )): test_deviance [ i ] = 2 * log_loss ( y_test , y_proba...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.html -
Non-negative least squares — scikit-learn 1.6.0...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.5 ) Fit the Non-Negative...scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html