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mean_squared_error — scikit-learn 1.8.0 documen...
y_pred ) 0.375 >>> y_true = [[ 0.5 , 1 ],[ - 1 , 1 ],[ 7 , -...y_true = [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html -
multilabel_confusion_matrix — scikit-learn 1.8....
array([[[1, 0], [0, 1]], [[1, 0], [0, 1]], [[0, 1], [1, 0]]]) Multiclass...array([[[3, 1], [0, 2]], [[5, 0], [1, 0]], [[2, 1], [1, 2]]]) On...scikit-learn.org/stable/modules/generated/sklearn.metrics.multilabel_confusion_matrix.html -
euclidean_distances — scikit-learn 1.8.0 docume...
euclidean_distances >>> X = [[ 0 , 1 ], [ 1 , 1 ]] >>> # distance between...euclidean_distances ( X , X ) array([[0., 1.], [1., 0.]]) >>> # get distance...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.euclidean_distances.html -
mean_absolute_error — scikit-learn 1.8.0 docume...
y_pred ) 0.5 >>> y_true = [[ 0.5 , 1 ], [ - 1 , 1 ], [ 7 , -...y_true = [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html -
confusion_matrix_at_thresholds — scikit-learn 1...
array ([ 0. , 0. , 1. , 1. ]) >>> y_score = np . array ([ 0.1 , 0.4...array([2., 1., 1., 0.]) >>> fps array([0., 1., 1., 2.]) >>> fns...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix_at_thresholds.html -
auc — scikit-learn 1.8.0 documentation
array ([ 1 , 1 , 2 , 2 ]) >>> y_score = np . array ([ 0.1 , 0.4 ,..., 0.35 , 0.8 ]) >>> fpr , tpr , thresholds = metrics . roc_curve...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
paired_distances — scikit-learn 1.8.0 documenta...
X = [[ 0 , 1 ], [ 1 , 1 ]] >>> Y = [[ 0 , 1 ], [ 2 , 1 ]] >>>...distances between (X[0], Y[0]), (X[1], Y[1]), etc… Read more in...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_distances.html -
PredictionErrorDisplay — scikit-learn 1.8.0 doc...
it should be between 0 and 1 and represents the proportion...float , it should be between 0 and 1 and represents the proportion...scikit-learn.org/stable/modules/generated/sklearn.metrics.PredictionErrorDisplay.html -
OneVsOneClassifier — scikit-learn 1.8.0 documen...
X_test [: 10 ]) array([2, 1, 0, 2, 0, 2, 0, 1, 1, 1]) decision_function...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html -
OneVsRestClassifier — scikit-learn 1.8.0 docume...
array ([ 0 , 0 , 1 , 1 , 2 , 2 ]) >>> clf = OneVsRestClassifier...as a 2D binary (0/1) matrix, where [i, j] == 1 indicates the presence...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsRestClassifier.html