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Receiver Operating Characteristic (ROC) with cr...
name = f "ROC fold { fold } " , alpha =..."True Positive Rate" , title = f "Mean ROC curve with variability...scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html -
SelectKBest — scikit-learn 1.5.0 documentation
See also f_classif ANOVA F-value between label/feature...for classification tasks. f_regression F-value between label/feature...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html -
chi2 — scikit-learn 1.5.0 documentation
See also f_classif ANOVA F-value between label/feature...for classification tasks. f_regression F-value between label/feature...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html -
r_regression — scikit-learn 1.5.0 documentation
f_classif ANOVA F-value between label/feature...coefficients of features. See also f_regression Univariate linear regression...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.r_regression.html -
Approximate nearest neighbors in TSNE — scikit-...
msg = f "Benchmarking on { dataset_name } :" print ( f " \n {...msg = f "Benchmarking on { dataset_name } :" print ( f " \n {...scikit-learn.org/stable/auto_examples/neighbors/approximate_nearest_neighbors.html -
Post-tuning the decision threshold for cost-sen...
the business metric: print ( f "Business defined metric: { scoring...( X_train , y_train ) print ( f " { tuned_model . best_threshold_...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
Feature discretization — scikit-learn 1.5.0 doc...
enumerate ( datasets ): print ( f " \n dataset { ds_cnt } \n ---------"...score ( X_test , y_test ) print ( f " { name } : { score : .2f } "...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
SGD: convex loss functions — scikit-learn 1.5.0...
"Decision function $f(x)$" ) plt . ylabel ( "$L(y=1, f(x))$" ) plt ....scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html -
GenericUnivariateSelect — scikit-learn 1.5.0 do...
See also f_classif ANOVA F-value between label/feature...for classification tasks. f_regression F-value between label/feature...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.GenericUnivariateSelect.html -
1.5. Stochastic Gradient Descent — scikit-learn...
f(x_i)) = \max(0, 1 - y_i f(x_i))^2\) if \(y_i f(x_i) >...Classification. \(L(y_i, f(x_i)) = \max(0, 1 - y_i f(x_i))\) . Perceptron:...scikit-learn.org/stable/modules/sgd.html