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preprocessing.rst.txt
X_test, y_train, y_test = train_test_split(X, y, random_state=42)...pipe.score(X_test, y_test) # apply scaling on testing data, without...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
Release Highlights for scikit-learn 0.23 — scik...
X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test )) print ( gbdt . score ( X_test , y_test...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_23_0.html -
MNIST classification using multinomial logistic...
X_test , y_train , y_test = train_test_split ( X ,...( X_train ) X_test = scaler . transform ( X_test ) # Turn up tolerance...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html -
Feature transformations with ensembles of trees...
X_test , y_full_train , y_test = train_test_split ( X...train_test_split ( X_full_train , y_full_train , test_size =...scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.html -
Cross-validation on diabetes Dataset Exercise —...
score ( X [ test ], y [ test ]) ) ) print () print...Train error vs Test error Train error vs Test error Lasso model...scikit-learn.org/stable/auto_examples/exercises/plot_cv_diabetes.html -
sklearn.naive_bayes.MultinomialNB — scikit-lear...
classification on an array of test vectors X. predict_joint_log_proba...probability estimates for the test vector X. predict_log_proba...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
Class Likelihood Ratios to measure classificati...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...classification performance Pre-test vs. post-test analysis Cross-validation...scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html -
Nearest Neighbors Classification — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...split the data into a train and test dataset. from sklearn.datasets...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html -
Precision-Recall — scikit-learn 1.4.2 documenta...
and test X_train , X_test , y_train , y_test = train_test_split...and test X_train , X_test , Y_train , Y_test = train_test_split...scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html -
plot_classifier_comparison.rst.txt
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/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt