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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 -
Overview of multiclass training meta-estimators...
examples Nested versus non-nested cross-validation Nested versus..."DecisionTreeClassifi" : cv_results_tree [ "test_score" ], "OneVsOneClassifier"...scikit-learn.org/stable/auto_examples/multiclass/plot_multiclass_overview.html -
Release Highlights for scikit-learn 0.24 — scik...
X_test , y_train , y_test = train_test_split ( X ,...X_train , X_test , y_train , y_test = train_test_split ( X ,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
sklearn.model_selection.RepeatedStratifiedKFold...
print ( f " Test: index= { test_index } " ) ... Fold...index=[1 2] Test: index=[0 3] Fold 1: Train: index=[0 3] Test: index=[1...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
sklearn.ensemble.GradientBoostingClassifier — s...
X_test = X [: 2000 ], X [ 2000 :] >>> y_train , y_test = y...y_train ) >>> clf . score ( X_test , y_test ) 0.913... Methods apply...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html -
Comparison of kernel ridge regression and SVR —...
train_time = [] test_time = [] for train_test_size in sizes :...fit ( X [: train_test_size ], y [: train_test_size ]) train_time...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_ridge_regression.html -
Principal Component Regression vs Partial Least...
X_test , y_train , y_test = train_test_split ( X ,...scatter ( pca . transform ( X_test ), y_test , alpha = 0.3 , label =...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
sklearn.covariance.ShrunkCovariance — scikit-le...
score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.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 -
Developer’s Guide — scikit-learn 1.4.2 document...
on GitHub Actions Testing and improving test coverage Writing...matplotlib related tests Workflow to improve test coverage Monitoring...scikit-learn.org/stable/developers/index.html -
Prediction Intervals for Gradient Boosting Regr...
test datasets: X_train , X_test , y_train , y_test = train_test_split...( X_test , y_test , "b." , markersize = 10 , label = "Test observations"...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html -
sklearn.model_selection.PredefinedSplit — sciki...
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 -
MNIST classification using multinomial logistic...
X_test , y_train , y_test = train_test_split ( X ,...clf . score ( X_test , y_test ) # print('Best C % .4f' % clf.C_)...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html -
sklearn.neighbors.NearestCentroid — scikit-lear...
with test samples classified to the class...classification on an array of test vectors X . score (X, y[, sample_weight])...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
sklearn.naive_bayes.MultinomialNB — scikit-lear...
classification of text documents Out-of-core classification of text documents...classification on an array of test vectors X. predict_joint_log_proba...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
Non-negative least squares — scikit-learn 1.4.2...
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 -
sklearn.metrics.class_likelihood_ratios — sciki...
obtain post-test probabilities given a pre-test probability....classifier being a diagnostic test; the pre-test probability of an individual...scikit-learn.org/stable/modules/generated/sklearn.metrics.class_likelihood_ratios.html -
Feature discretization — scikit-learn 1.4.2 doc...
training and test part X_train , X_test , y_train , y_test = train_test_split...and testing points ax . scatter ( X_test [:, 0 ], X_test [:,...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
sklearn.model_selection.GroupKFold — scikit-lea...
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.GroupKFold.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