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Classifier comparison — scikit-learn 1.7.1 docu...
C = 0.025 , random_state = 42 ), SVC ( gamma = 2 , C = 1 ,...clf , X , cmap = cm , alpha = 0.8 , ax = ax , eps = 0.5 ) # Plot...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
grid_search_workflow.png
encoding=ISO-8859-1, compression=none keyword=Software, value=www.inkscape.org...0.08468835 width=2031, height=1362, bitDepth=8, colorType=RGBAlpha,...scikit-learn.org/stable/_images/grid_search_workflow.png -
Parallel — scikit-learn 1.7.1 documentation
return_as = 'list' , verbose = default(0) , timeout = None , pre_dispatch...pre_dispatch = '2 * n_jobs' , batch_size = 'auto' , temp_folder = default(None)...scikit-learn.org/stable/modules/generated/sklearn.utils.parallel.Parallel.html -
DummyClassifier — scikit-learn 1.7.1 documentation
strategy = 'prior' , random_state = None , constant = None ) [source]...predictions when strategy='stratified' or strategy='uniform' . Pass an...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html -
OneVsOneClassifier — scikit-learn 1.7.1 documen...
shuffle = True , random_state = 0 ) >>> clf = OneVsOneClassifier...LinearSVC >>> X , y = load_iris ( return_X_y = True ) >>> X_train...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html -
GMM covariances — scikit-learn 1.7.1 documentation
bottom = 0.01 , top = 0.95 , hspace = 0.15 , wspace = 0.05 ,...scatterpoints = 1 , loc = "lower right" , prop = dict ( size = 12 ))...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
Support Vector Regression (SVR) using linear an...
# svr_rbf = SVR ( kernel = "rbf" , C = 100 , gamma = 0.1 , epsilon...epsilon = 0.1 ) svr_lin = SVR ( kernel = "linear" , C = 100 , gamma...scikit-learn.org/stable/auto_examples/svm/plot_svm_regression.html -
d2_absolute_error_score — scikit-learn 1.7.1 do...
sample_weight = None , multioutput = 'uniform_average' )... >>> y_true = [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_absolute_error_score.html -
Gradient Boosting Out-of-Bag estimates — scikit...
n_splits = None ): cv = KFold ( n_splits = n_splits ) cv_clf = ensemble...) x1 = random_state . uniform ( size = n_samples ) x2 = random_state...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_oob.html -
Multiclass Receiver Operating Characteristic (R...
pair_list ): a_mask = y_test == label_a b_mask = y_test == label_b ab_mask...plot_chance_level = ( class_id == 2 ), despine = True , ) _ = ax . set...scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html
