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train_test_split — scikit-learn 1.8.0 doc...
1 3.5 1.4 0.2 1 4.9 3.0 1.4 0.2 2 4.7 3.2 1.3 0.2 3 4.6...4.2 1.3 105 7.6 3.0 6.6 2.1 66 5.6 3.0 4.5 1.5 0 5.1 3.5 1.4 0.2...scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html -
RepeatedStratifiedKFold — scikit-learn 1....
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> rskf = RepeatedStratifiedKF...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
manhattan_distances — scikit-learn 1.8.0 ...
array([[1.]]) >>> manhattan_distances ([[ 1 , 2 ], [...manhattan_distances ([[ 3 ]], [[ 2 ]]) array([[1.]]) >>> manhattan_distances...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.manhattan_distances.html -
accuracy_score — scikit-learn 1.8.0 docum...
1 ], [ 1 , 1 ]]), np . ones (( 2 , 2...= [ 0 , 2 , 1 , 3 ] >>> y_true = [ 0 , 1 , 2 , 3 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html -
pairwise_distances_chunked — scikit-learn...
means 1 unless in a joblib.parallel_backend context. -1 means...D_chunk < r )) . mean ( axis = 1 ) ... return neigh , avg_dist...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_chunked.html -
root_mean_squared_error — scikit-learn 1....
1 ],[ - 1 , 1 ],[ 7 , - 6 ]] >>>...User Guide . Added in version 1.4. Parameters : y_true array-like...scikit-learn.org/stable/modules/generated/sklearn.metrics.root_mean_squared_error.html -
pairwise_distances — scikit-learn 1.8.0 d...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...deprecated from SciPy 1.9 and will be removed in SciPy 1.11. Note 'matching'...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html -
mean_absolute_error — scikit-learn 1.8.0 ...
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>>...>>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html -
mean_squared_error — scikit-learn 1.8.0 d...
1 ],[ - 1 , 1 ],[ 7 , - 6 ]] >>>...>>> y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8 , - 5 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html -
make_classification — scikit-learn 1.8.0 ...
class_sep = 1.0 , hypercube = True , shift = 0.0 , scale = 1.0 , shuffle...[np.int64(0), np.int64(0), np.int64(1), np.int64(1), np.int64(0)] Gallery...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html