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L1-based models for Sparse Signals — scikit-lea...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.5 , shuffle = False ) In...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_and_elasticnet.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 -
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 -
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 -
Classifier comparison — scikit-learn 1.7.0 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 -
Non-negative least squares — scikit-learn 1.7.0...
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 -
Probability Calibration for 3-class classificat...
y [: 1000 ] X_test , y_test = X [ 1000 :], y [ 1000...log_loss ( y_test , clf_probs ) cal_loss = log_loss ( y_test , cal_clf_probs...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.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 -
Decision Tree Regression — scikit-learn 1.7.0 d...
Get predictions on the test set X_test = np . arange ( 0.0 , 5.0...predict ( X_test ) y_2 = regr_2 . predict ( X_test ) Plot the...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html -
Shrinkage covariance estimation: LedoitWolf vs ...
coloring_matrix ) X_test = np . dot ( base_X_test , coloring_matrix...ymin , - cv . best_estimator_ . score ( X_test ), color = "cyan"...scikit-learn.org/stable/auto_examples/covariance/plot_covariance_estimation.html -
Examples of Using FrozenEstimator — scikit-lear...
X_test , y_train , y_test = train_test_split ( X ,...( X_test )[:, 1 ] clf_score = brier_score_loss ( y_test , prob_pos_clf...scikit-learn.org/stable/auto_examples/frozen/plot_frozen_examples.html -
LinearSVC — scikit-learn 1.7.0 documentation
vs the rest. It is possible to implement one vs the rest with SVC...shape (n_samples, n_features) Test samples. y array-like of shape...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.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 -
Confusion matrix — scikit-learn 1.7.0 documenta...
set and a test set X_train , X_test , y_train , y_test = train_test_split...from_estimator ( classifier , X_test , y_test , display_labels = class_names...scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html -
Feature discretization — scikit-learn 1.7.0 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 -
RandomForestClassifier — scikit-learn 1.7.0 doc...
max_leaf_nodes in best-first fashion. Best nodes are defined...shape (n_samples, n_features) Test samples. y array-like of shape...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html -
Release Highlights for scikit-learn 1.5 — sciki...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( classifier_05 , X_test , y_test ) Lowering the threshold,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html -
Precision-Recall — scikit-learn 1.7.0 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 -
Demonstration of multi-metric evaluation on cro...
The best_estimator_ , best_index_ , best_score_ and best_params_...``gs.best_score_``, ``gs.best_params_`` and # ``gs.best_index_``...scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html -
Lagged features for time series forecasting — s...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.2 , random_state = 42 )...scikit-learn.org/stable/auto_examples/applications/plot_time_series_lagged_features.html