- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 161 - 170 of 1,165 for test (0.09 sec)
-
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 -
Single estimator versus bagging: bias-variance ...
( y ) X_test , y_test = generate ( n_samples = n_test , noise...training set n_test = 1000 # Size of the test set noise = 0.1...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.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 -
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 -
Face completion with a multi-output estimators ...
randint ( test . shape [ 0 ], size = ( n_faces ,)) test = test [ face_ids...2 :] X_test = test [:, : ( n_pixels + 1 ) // 2 ] y_test = test...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multioutput_face_completion.html -
Time-related feature engineering — scikit-learn...
test_0 = all_splits [ 0 ] X . iloc [ test_0 ] season...train_4 , test_4 = all_splits [ 4 ] X . iloc [ test_4 ] season...scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.html -
CalibratedClassifierCV — scikit-learn 1.5.0 doc...
and calibrates it using the testing subset. For prediction, predicted...An iterable yielding (train, test) splits as arrays of indices....scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibratedClassifierCV.html -
LeavePGroupsOut — scikit-learn 1.5.0 documentation
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.LeavePGroupsOut.html -
Gradient Boosting regression — scikit-learn 1.5...
X_test , y_train , y_test = train_test_split ( X ,...mean_squared_error ( y_test , reg . predict ( X_test )) print ( "The...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.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