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Ordinary Least Squares and Ridge Regression Var...
plot ( X_test , clf . predict ( X_test ), color = "gray"...) ax . plot ( X_test , clf . predict ( X_test ), linewidth = 2...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge_variance.html -
Prediction Latency — scikit-learn 1.4.2 documen...
X_test , y_train , y_test = train_test_split ( X ,..., X_test , y_test = generate_dataset ( n_train , n_test , n )...scikit-learn.org/stable/auto_examples/applications/plot_prediction_latency.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 -
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 1.4.2 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 -
sklearn.model_selection.LeavePGroupsOut — sciki...
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 -
sklearn.model_selection.LeaveOneOut — scikit-le...
Provides train/test indices to split data in train/test sets. Each..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.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 -
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 -
Getting Started — scikit-learn 1.4.2 documentation
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/getting_started.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 -
Post pruning decision trees with cost complexit...
X_test , y_train , y_test = train_test_split ( X ,...clfs ] test_scores = [ clf . score ( X_test , y_test ) for clf...scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.html -
Probability calibration of classifiers — scikit...
y_test , sw_train , sw_test = train_test_split ( X , y , sample_weight...split train, test for calibration X_train , X_test , y_train ,...scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html -
Comparing various online solvers — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...( X_test ) yy_ . append ( 1 - np . mean ( y_pred == y_test ))...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html -
gtm.js
type="text/javascript";n.id=h.id;n.text=h.text||h.textCo...e=window.document.location.hostname;ho.test(e)||go.test(e)||a.push("none");return...www.googletagmanager.com/gtm.js -
Feature transformations with ensembles of trees...
X_test , y_full_train , y_test = train_test_split ( X...train_test_split ( X_full_train , y_full_train , test_size =...scikit-learn.org/stable/auto_examples/ensemble/plot_feature_transformation.html -
Recognizing hand-written digits — scikit-learn ...
and 50% test subsets X_train , X_test , y_train , y_test = train_test_split...train_test_split ( data , digits . target , test_size = 0.5 , shuffle...scikit-learn.org/stable/auto_examples/classification/plot_digits_classification.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 -
Image denoising using kernel PCA — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...0.25 , size = X_test . shape ) X_test_noisy = X_test + noise noise...scikit-learn.org/stable/auto_examples/applications/plot_digits_denoising.html -
One-Class SVM versus One-Class SVM using Stocha...
size n_error_test = y_pred_test [ y_pred_test == - 1 ] . size...size n_error_test_sgd = y_pred_test_sgd [ y_pred_test_sgd == - 1...scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html