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sklearn.model_selection.HalvingRandomSearchCV —...
cross-validated score of the best_estimator. best_params_ dict Parameter...that gave the best results on the hold out data. best_index_ int...scikit-learn.org/stable/modules/generated/sklearn.model_selection.HalvingRandomSearchCV.html -
sklearn.datasets.make_regression — scikit-learn...
Train error vs Test error Train error vs Test error Effect of...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html -
sklearn.ensemble.StackingClassifier — scikit-le...
train_test_split >>> X_train , X_test , y_train , y_test = train_test_split..., y_train ) . score ( X_test , y_test ) 0.9... Methods decision_function...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingClassifier.html -
1.17. Neural network models (supervised) — scik...
transformation to test data >>> X_test = scaler . transform ( X_test ) An...apply the same scaling to the test set for meaningful results....scikit-learn.org/stable/modules/neural_networks_supervised.html -
glossary.rst.txt
common tests This refers to the tests run on almost every...``(train_idx, test_idx)`` pairs. Each of {train,test}_idx is a 1d...scikit-learn.org/stable/_sources/glossary.rst.txt -
sklearn.datasets.load_iris — scikit-learn 1.4.2...
(ROC) Nested versus non-nested cross-validation Nested versus...(ROC) with cross validation Test with permutations the significance...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html -
sklearn.linear_model.LogisticRegression — sciki...
the mean accuracy on the given test data and labels. set_fit_request...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html -
sklearn.model_selection.cross_val_score — sciki...
IterativeImputer Nested versus non-nested cross-validation Nested versus...splitting the dataset into train/test set. Only used in conjunction...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html -
plot_release_highlights_1_4_0.ipynb
X_test, y_train, y_test = train_test_split(X_adult,...(X_test)\nprint(f\"ROC AUC score is {roc_auc_score(y_test, y_decision)}\")"...scikit-learn.org/stable/_downloads/53490cdb42c3c07ba8cccd1c4ed4dca4/plot_release_highlights_1_4_0... -
sklearn.covariance.OAS — scikit-learn 1.4.2 doc...
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.OAS.html -
sklearn.model_selection.GridSearchCV — scikit-l...
'rank_test_score', 'split0_test_score',... 'split2_test_score',...the attributes best_index_ , best_score_ and best_params_ will...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html -
sklearn.covariance.LedoitWolf — scikit-learn 1....
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.LedoitWolf.html -
sklearn.neighbors.KNeighborsRegressor — scikit-...
n_indexed) if metric == ‘precomputed’ Test samples. Returns : y ndarray...shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
sklearn.ensemble.AdaBoostRegressor — scikit-lea...
n_features) Test samples. For some estimators...determine the prediction on a test set after each boost. Parameters...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostRegressor.html -
sklearn.svm.NuSVC — scikit-learn 1.4.2 document...
the mean accuracy on the given test data and labels. set_fit_request...(n_samples, n_features) or (n_samples_test, n_samples_train) For kernel=”precomputed”,...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html -
sklearn.decomposition.SparsePCA — scikit-learn ...
n_features) Test data to be transformed, must...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparsePCA.html -
sklearn.feature_selection.RFECV — scikit-learn ...
test) splits as arrays of indices....ndarrays A dict with keys: split(k)_test_score ndarray of shape (n_s...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
sklearn.linear_model.QuantileRegressor — scikit...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html -
ensemble.rst.txt
to est >>> mean_squared_error(y_test, est.predict(X_test)) 3.84......train_test_split >>> X_train, X_test, y_train, y_test = train_test_split(X,...scikit-learn.org/stable/_sources/modules/ensemble.rst.txt -
sklearn.linear_model.LassoLarsCV — scikit-learn...
test) splits as arrays of indices....shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsCV.html