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LinearSVC — scikit-learn 1.5.0 documentation
the parameter C of class i to class_weight[i]*C for SVC. If not...dual = 'auto' , tol = 0.0001 , C = 1.0 , multi_class = 'ovr' ,...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html -
confusion_matrix — scikit-learn 1.5.0 documenta...
a confusion matrix \(C\) is such that \(C_{i, j}\) is equal to...negatives is \(C_{0,0}\) , false negatives is \(C_{1,0}\) , true...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html -
QuadraticDiscriminantAnalysis — scikit-learn 1....
Returns : C ndarray of shape (n_samples,)...vectors X. The predicted class C for each sample in X is returned....scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal... -
LogisticRegressionCV — scikit-learn 1.5.0 docum...
the best C is the average of the C’s that correspond...folds, and the coefs and the C that corresponds to the best score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegressionCV.html -
3.1. Cross-validation: evaluating estimator per...
"c" , "c" , "c" , "d" , "d" , "d" ] >>>..."a" , "b" , "b" , "b" , "c" , "c" , "c" , "a" ] >>> groups = [...scikit-learn.org/stable/modules/cross_validation.html -
HuberRegressor — scikit-learn 1.5.0 documentation
the samples where |(y - Xw - c) / sigma| < epsilon and the absolute...the samples where |(y - Xw - c) / sigma| > epsilon , where the...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
MultinomialNB — scikit-learn 1.5.0 documentation
References C.D. Manning, P. Raghavan and H....The input samples. Returns : C ndarray of shape (n_samples,)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html -
ComplementNB — scikit-learn 1.5.0 documentation
Returns : C ndarray of shape (n_samples,)...The input samples. Returns : C ndarray of shape (n_samples, n_classes)...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html -
Bunch — scikit-learn 1.5.0 documentation
c = 6 >>> b [ 'c' ] 6 clear ( ) → None....scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
OrdinalEncoder — scikit-learn 1.5.0 documentation
(c.f. bpo-43475 ). Examples Given...into a single category, “b” and “c” are their own categories, unknown...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html