- Sort Score
- Result 20 results
- Languages All
- Labels All
Results 261 - 280 of 1,328 for test (0.47 sec)
-
Faces recognition example using eigenfaces and ...
X_test , y_train , y_test = train_test_split ( X , y , test_size...set and a test and keep 25% of the data for testing. X_train ,...scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html -
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 -
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 -
Kernel PCA — scikit-learn 1.7.2 documentation
X_test , y_train , y_test = train_test_split ( X ,..."Training data" ) test_ax . scatter ( X_test [:, 0 ], X_test [:, 1 ],...scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.html -
Plot classification probability — scikit-learn ...
X_test , y_train , y_test = train_test_split ( X ,...predict_proba ( X_test ) accuracy_test = accuracy_score ( y_test , y_pred...scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html -
getting_started.rst.txt
X_test, y_train, y_test = train_test_split(X, y, random_state=0)...>>> X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)...scikit-learn.org/stable/_sources/getting_started.rst.txt -
Model Complexity Influence — scikit-learn 1.7.2...
X_test , y_train , y_test = train_test_split ( X ,...X_train , "X_test" : X_test , "y_train" : y_train , "y_test" : y_test...scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html -
Partial Dependence and Individual Conditional E...
( f "Test R2 score: { mlp_model . score ( X_test , y_test ) :...f "Test R2 score: { hgbdt_model . score ( X_test , y_test ) :...scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html -
GMM covariances — scikit-learn 1.7.2 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 -
Pipeline ANOVA SVM — scikit-learn 1.7.2 documen...
X_test , y_train , y_test = train_test_split ( X ,...predict ( X_test ) print ( classification_report ( y_test , y_pred...scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection_pipeline.html -
Custom refit strategy of a grid search with cro...
import train_test_split X_train , X_test , y_train , y_test = train_test_split..., "mean_test_recall" , "std_test_recall" , "mean_test_precision"...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html -
NeighborhoodComponentsAnalysis — scikit-learn 1...
X_test , y_train , y_test = train_test_split ( X ,...print ( knn . score ( X_test , y_test )) 0.933333... >>> knn ....scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html -
Decision Tree Regression — scikit-learn 1.7.2 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 -
Dimensionality Reduction with Neighborhood Comp...
train/test X_train , X_test , y_train , y_test = train_test_split...( model . transform ( X_test ), y_test ) # Embed the data set...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_dim_reduction.html -
cross_validation.rst.txt
available data as a **test set** ``X_test, y_test``. Note that the...>>> X_train, X_test, y_train, y_test = train_test_split( ... X,...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
class_likelihood_ratios — scikit-learn 1.7.2 do...
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 -
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 -
Multiclass Receiver Operating Characteristic (R...
X_test , y_train , y_test , ) = train_test_split ( X...y_onehot_test = label_binarizer . transform ( y_test ) y_onehot_test...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.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