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sklearn.multiclass.OneVsRestClassifier — scikit...
the mean accuracy on the given test data and labels. set_params...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html -
sklearn.linear_model.RidgeClassifier — scikit-l...
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.RidgeClassifier.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.ensemble.VotingClassifier — scikit-lear...
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.ensemble.VotingClassifier.html -
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.ensemble.HistGradientBoostingClassifier...
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.ensemble.HistGradientBoostingClassifier.html -
sklearn.linear_model.PassiveAggressiveClassifie...
classification of text documents Out-of-core classification of text documents...the mean accuracy on the given test data and labels. set_fit_request...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PassiveAggressiveClassifier.html -
sklearn.feature_selection.SequentialFeatureSele...
evaluate the predictions on the test set. NOTE that when using a...An iterable yielding (train, test) splits as arrays of indices....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SequentialFeatureSelector.html -
sklearn.linear_model.OrthogonalMatchingPursuitC...
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.OrthogonalMatchingPursuitCV.html -
sklearn.model_selection.RandomizedSearchCV — sc...
the attributes best_index_ , best_score_ and best_params_ will...param_gamma split0_test_score … rank_test_score ‘rbf’ 0.1 0.80...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html -
sklearn.ensemble.StackingRegressor — scikit-lea...
train_test_split >>> X_train , X_test , y_train , y_test = train_test_split..., y_train ) . score ( X_test , y_test ) 0.3... Methods fit (X,...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.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 -
sklearn.covariance.EmpiricalCovariance — scikit...
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.EmpiricalCovariance.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.svm.LinearSVC — scikit-learn 1.4.2 docu...
vs the rest. It is possible to implement one vs the rest with SVC...the mean accuracy on the given test data and labels. set_fit_request...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.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 -
Don't Be Email | MetaFilter
clearly intended to beat a drug test, as the e-mail confirmation...style="display:none"></div> <script type="text/javascript"> !function() { var...www.metafilter.com/203149/Dont-Be-Email -
sklearn.base.RegressorMixin — scikit-learn 1.4....
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.base.RegressorMixin.html