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SVC — scikit-learn 1.5.0 documentation
cross-validation Nested versus non-nested cross-validation Nested versus...following example: Nested versus non-nested cross-validation Read...scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html -
FixedThresholdClassifier — scikit-learn 1.5.0 d...
X_test , y_train , y_test = train_test_split ( ......confusion_matrix ( y_test , classifier . predict ( X_test ))) [[217 7]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.FixedThresholdClassifier.html -
Get started with generative AI free | Elastic
Test out ingesting your data, build...Configure, select field mappings, and test vector and semantic search with...www.elastic.co/cloud/generative-ai-trial-overview -
fetch_species_distributions — scikit-learn 1.5....
in degrees test record array, shape = (620,) The test points for...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_species_distributions.html -
GraphicalLassoCV — scikit-learn 1.5.0 documenta...
: X_test array-like of shape (n_samples, n_features) Test data...An iterable yielding (train, test) splits as arrays of indices....scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLassoCV.html -
OneVsOneClassifier — scikit-learn 1.5.0 documen...
X_test , y_train , y_test = train_test_split ( ......sklearn.model_selection import train_test_split >>> from sklearn.multiclass...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html -
6.3. Preprocessing data — scikit-learn 1.5.0 do...
X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test ) # apply scaling on testing data, without...scikit-learn.org/stable/modules/preprocessing.html -
Supervised learning: predicting an output varia...
iris_X_test = iris_X [ indices [ - 10 :]] >>> iris_y_test = iris_y...predict ( diabetes_X_test ) - diabetes_y_test ) ** 2 ) 2004.5......scikit-learn.org/stable/tutorial/statistical_inference/supervised_learning.html -
OutputCodeClassifier — scikit-learn 1.5.0 docum...
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.multiclass.OutputCodeClassifier.html -
ClassifierMixin — scikit-learn 1.5.0 documentation
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.base.ClassifierMixin.html