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plot_classifier_comparison.rst.txt
make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
BayesianRidge — scikit-learn 1.8.0 docume...
[ 2 , 2 ]], [ 0 , 1 , 2 ]) BayesianRidge() >>>...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.BayesianRidge.html -
Plot the decision surface of decision trees tra...
2 ], [ 0 , 3 ], [ 1 , 2 ], [ 1 , 3 ], [ 2 , 3 ]]): #...boundary ax = plt . subplot ( 2 , 3 , pairidx + 1 ) plt . tight_layout...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html -
LassoLarsIC — scikit-learn 1.8.0 document...
[[ - 2 , 2 ], [ - 1 , 1 ], [ 0 , 0 ], [ 1 , 1 ], [ 2 , 2 ]] >>>...>>> y = [ - 2.2222 , - 1.1111 , 0 , - 1.1111 , - 2.2222 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLarsIC.html -
auto_examples_python.zip
- l / 2.0) ** 2 + (y - l / 2.0) ** 2 < (l / 2.0) ** 2 mask =...+ 1, figsize=(4 * 2.2, n_classifiers * 2.2), ) evaluation_results...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip -
inplace_csr_column_scale — scikit-learn 1...
2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_csr_column_scale.html -
Plot randomly generated multilabel dataset R...
1500 * p_c ** 2 , color = COLORS . take ([ 1 , 2 , 4 ]), ) ax...means the class is present: 1 2 3 Color Y N N Red N Y N Blue N...scikit-learn.org/stable/auto_examples/datasets/plot_random_multilabel_dataset.html -
IsolationForest example — scikit-learn 1....
2 ) @ covariance + np . array ([ 2 , 2 ]) # general...randn ( n_samples , 2 ) + np . array ([ - 2 , - 2 ]) # spherical outliers...scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html -
auc — scikit-learn 1.8.0 documentation
2 , 2 ]) >>> y_score = np...y_true , y_score , pos_label = 2 ) >>> metrics . auc (...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
OneVsOneClassifier — scikit-learn 1.8.0 d...
X_test [: 10 ]) array([2, 1, 0, 2, 0, 2, 0, 1, 1, 1]) decision_function...n_classes * (n_classes - 1) / 2 classifiers, this method is usually...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html