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Label Propagation digits: Demonstrating perform...
support 0 1.00 1.00 1.00 27 1 0.82 1.00 0.90 37 2 1.00 0.86 0.92...0.92 28 3 1.00 0.80 0.89 35 4 0.92 1.00 0.96 24 5 0.74 0.94 0.83...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits.html -
Multi-class AdaBoosted Decision Trees — scikit-...
as depicted by Figure 1 in Zhu et al [ 1 ] . The core principle...of trees" : range ( 1 , n_estimators + 1 ), "AdaBoost" : [ m...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_multiclass.html -
Comparing different hierarchical linkage method...
"connectivity matrix is [0-9]{1,2}" " > 1. Completing it to avoid stopping...y_pred ) + 1 ), ) ) ) plt . scatter ( X [:, 0 ], X [:, 1 ], s = 10...scikit-learn.org/stable/auto_examples/cluster/plot_linkage_comparison.html -
Detection error tradeoff (DET) curve — scikit-l...
random_state = 1 , n_clusters_per_class = 1 , ) X_train , X_test...make_classification ( n_samples = 1_000 , n_features = 2 , n_redundant...scikit-learn.org/stable/auto_examples/model_selection/plot_det.html -
Out-of-core classification of text documents — ...
()[ 1 ], rotation = 30 ) ymax = max ( cls_runtime ) * 1.2 ax...__init__ ( self , encoding = "latin-1" ): HTMLParser . __init__ ( self...scikit-learn.org/stable/auto_examples/applications/plot_out_of_core_classification.html -
Inductive Clustering — scikit-learn 1.7.1 docum...
cluster_std = [ 1.0 , 1.0 , 0.5 ], centers = [( - 5.... scatter ( X [:, 0 ], X [:, 1 ], c = color , alpha = alpha ,...scikit-learn.org/stable/auto_examples/cluster/plot_inductive_clustering.html -
EmpiricalCovariance — scikit-learn 1.7.1 docume...
Added in version 1.0. See also EllipticEnvelope An...scikit-learn.org/stable/modules/generated/sklearn.covariance.EmpiricalCovariance.html -
Class Likelihood Ratios to measure classificati...
param to positive negative mean 1.0 1.0 std 0.0 0.0 The absence of...linspace ( 0.1 , 0.8 , 6 ) weights = weights [:: - 1 ] # fit and...scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html -
SVM: Maximum margin separating hyperplane — sci...
levels = [ - 1 , 0 , 1 ], alpha = 0.5 , linestyles...support_vectors_ [:, 1 ], s = 100 , linewidth = 1 , facecolors = "none"...scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane.html -
HuberRegressor vs Ridge on dataset with strong ...
) epsilon_values = [ 1 , 1.5 , 1.75 , 1.9 ] for k , epsilon in...n_samples = 20 , n_features = 1 , random_state = 0 , noise = 4.0...scikit-learn.org/stable/auto_examples/linear_model/plot_huber_vs_ridge.html