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sklearn.metrics.PrecisionRecallDisplay — scikit...
X_test , y_train , y_test = train_test_split ( X ,...X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html -
Importance of Feature Scaling — scikit-learn 1....
X_test , y_train , y_test = train_test_split ( X ,...( X_test ) y_pred_scaled = scaled_clf . predict ( X_test ) y_proba...scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.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 -
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 -
Visualizations with Display Objects — scikit-le...
X_test , y_train , y_test = train_test_split ( X ,...predict ( X_test ) cm = confusion_matrix ( y_test , y_pred ) cm_display...scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html -
Detection error tradeoff (DET) curve — scikit-l...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( clf , X_test , y_test , ax = ax_roc , name = name...scikit-learn.org/stable/auto_examples/model_selection/plot_det.html -
sklearn.impute.IterativeImputer — scikit-learn ...
missing values at transform/test time. keep_empty_features bool,...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.impute.IterativeImputer.html -
Gradient Boosting Out-of-Bag estimates — scikit...
-= test_score [ 0 ] test_best_iter = x [ np . argmin ( test_score...x = test_best_iter , color = test_color , linestyle = test_line...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
Comparing Nearest Neighbors with and without Ne...
X_test , y_train , y_test = train_test_split ( X ,...score = clf . score ( X_test , y_test ) _ , ax = plt . subplots...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_classification.html -
Multi-class AdaBoosted Decision Trees — scikit-...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...the remaining 30 percent for testing. from sklearn.model_selection...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_multiclass.html -
Effect of varying threshold for self-training —...
train_index ] X_test = X [ test_index ] y_test = y [ test_index ] y_test_true...y_test_true = y_true [ test_index ] self_training_clf . fit (...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html -
Gradient Boosting regularization — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...( X_test )): test_deviance [ i ] = 2 * log_loss ( y_test , y_proba...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.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 -
Curve Fitting with Bayesian Ridge Regression — ...
increasing = True ) X_test = np . vander ( x_test , n_order + 1 , increasing...predict ( X_test , return_std = True ) ax . plot ( x_test , func (...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.html -
sklearn.covariance.GraphicalLasso — scikit-lear...
score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLasso.html -
Release Highlights for scikit-learn 0.23 — scik...
X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test )) print ( gbdt . score ( X_test , y_test...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_23_0.html -
Slashdot: News for nerds, stuff that matters
percent for every other model we test (GPT-3.5, open-source LLMs)...positional data and any calls or text made while using it. Moreover,...slashdot.org/popular -
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 -
sklearn.linear_model.SGDRegressor — scikit-lear...
n_features) Test samples. For some estimators...training will stop when (loss > best_loss - tol) for n_iter_no_change...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
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