- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 141 - 150 of 511 for tests (0.09 sec)
-
Normal, Ledoit-Wolf and OAS Linear Discriminant...
for training n_test = 200 # samples for testing n_averages = 50...) X , y = generate_data ( n_test , n_features ) score_clf1 +=...scikit-learn.org/stable/auto_examples/classification/plot_lda.html -
Semi-supervised Classification on a Text Datase...
X_test , y_train , y_test = train_test_split ( X ,..., X_train , y_train , X_test , y_test ): print ( "Number of training...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.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 -
Underfitting vs. Overfitting — scikit-learn 1.5...
plot ( X_test , pipeline . predict ( X_test [:, np . newaxis..."Model" ) plt . plot ( X_test , true_fun ( X_test ), label = "True function"...scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.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 -
GMM covariances — scikit-learn 1.5.0 documentation
train_index ] X_test = iris . data [ test_index ] y_test = iris . target...transAxes ) y_test_pred = estimator . predict ( X_test ) test_accuracy...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
Feature importances with a forest of trees — sc...
X_test , y_train , y_test = train_test_split ( X ,...permutation_importance ( forest , X_test , y_test , n_repeats = 10 , random_state...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.html -
Failure of Machine Learning to infer causal eff...
X_test , y_train , y_test = train_test_split ( X ,...data into a training and a testing set. from sklearn.model_selection...scikit-learn.org/stable/auto_examples/inspection/plot_causal_interpretation.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 -
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