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train_test_split — scikit-learn 1.7.2 doc...
2 1 4.9 3.0 1.4 0.2 2 4.7 3.2 1.3 0.2 3 4.6 3.1 1.5...73 6.1 2.8 4.7 1.2 18 5.7 3.8 1.7 0.3 118 7.7 2.6 6.9 2.3 78 6.0...scikit-learn.org/stable/modules/generated/sklearn.model_selection.train_test_split.html -
KBinsDiscretizer — scikit-learn 1.7.2 doc...
[ 2., 2., 2., 1.], [ 2., 2., 2., 2.]]) Sometimes...>>> X = [[ - 2 , 1 , - 4 , - 1 ], ... [ - 1 , 2 , - 3 , - 0.5...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html -
brier_score_loss — scikit-learn 1.7.2 doc...
2 , 0.7 , 0.1 ], [ 0.2 , 0.2 , 0.6 ]], ... labels...by 1/2 to lie in the [0, 1] range instead of the [0, 2] range....scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
DecisionTreeRegressor — scikit-learn 1.7....
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...= None , min_samples_split = 2 , min_samples_leaf = 1 , min_...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
KNNImputer — scikit-learn 1.7.2 documenta...
2. Attributes : indicator_ MissingIndicator...KNNImputer >>> X = [[ 1 , 2 , np . nan ], [ 3 , 4 , 3 ], [...scikit-learn.org/stable/modules/generated/sklearn.impute.KNNImputer.html -
NearestNeighbors — scikit-learn 1.7.2 doc...
2 , return_distance = False ) array([[2, 0]]...) >>>...array([[2]])) As you can see, it returns [[0.5]], and [[2]], which...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestNeighbors.html -
NearestCentroid — scikit-learn 1.7.2 docu...
[ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
MiniBatchDictionaryLearning — scikit-lear...
X_hat - X ) ** 2 , axis = 1 ) / np . sum ( X ** 2 , axis = 1 ))...argmin 0.5 || X - U V || _Fro ^ 2 + alpha * || U || _1 , 1 ( U ,...scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html -
hinge_loss — scikit-learn 1.7.2 documenta...
>>> pred_decision array([-2.18, 2.36, 0.09]) >>> hinge_loss...], [ 2 ], [ 3 ]]) >>> Y = np . array ([ 0 , 1 , 2 , 3...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
accuracy_score — scikit-learn 1.7.2 docum...
2 , 1 , 3 ] >>> y_true = [ 0 , 1 , 2 , 3 ] >>>...], [ 1 , 1 ]]), np . ones (( 2 , 2 ))) 0.5 Gallery examples # Plot...scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html