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cross_val_score — scikit-learn 1.5.0 documentation
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 -
LogisticRegression — scikit-learn 1.5.0 documen...
the mean accuracy on the given test data and labels. In multi-label...shape (n_samples, n_features) Test samples. y array-like of shape...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html -
AdaBoostRegressor — scikit-learn 1.5.0 document...
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 -
NuSVR — scikit-learn 1.5.0 documentation
expected shape of X is (n_samples_test, n_samples_train). Returns :...shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html -
StackingClassifier — scikit-learn 1.5.0 documen...
train_test_split >>> X_train , X_test , y_train , y_test = train_test_split..., y_train ) . score ( X_test , y_test ) 0.9... decision_function...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingClassifier.html -
DecisionTreeClassifier — scikit-learn 1.5.0 doc...
splitter {“best”, “random”}, default=”best” The strategy used...Supported strategies are “best” to choose the best split and “random”...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeClassifier.html -
HSE powers ecommerce website with AI search fro...
Strasser and his team ran an A/B test comparing the previous search...HSE is able to leverage the best models on the market to augment...www.elastic.co/customers/hse -
Implementing search and generative AI for your ...
www.elastic.co/explore/improving-digital-customer-experiences/implementing-search-for-your-knowle... -
ExtraTreesRegressor — scikit-learn 1.5.0 docume...
X_test , y_train , y_test = train_test_split ( ......y_train ) >>> reg . score ( X_test , y_test ) 0.2727... apply ( X )...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
1.6. Nearest Neighbors — scikit-learn 1.5.0 doc...
X_test , y_train , y_test = train_test_split ( X ,...( nca_pipe . score ( X_test , y_test )) 0.96190476... The plot...scikit-learn.org/stable/modules/neighbors.html