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Hierarchical clustering: structured vs unstruct...
cm . jet ( float ( l ) / np . max...label == l , 2 ], color = plt . cm . jet ( float ( l ) / np . max...scikit-learn.org/stable/auto_examples/cluster/plot_ward_structured_vs_unstructured.html -
SGD: Weighted samples — scikit-learn 1.5.0 docu...
cm . bone , edgecolor = "black"...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_weighted_samples.html -
Recursive feature elimination — scikit-learn 1....
cm . Blues ) # Add annotations for...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html -
Site Search Reference | Elastic
CMS, or support portal, customize...www.elastic.co/guide/en/swiftype/sitesearch/cur... -
Post-tuning the decision threshold for cost-sen...
pos_label ): cm = confusion_matrix ( y , y_pred...pos_label ]) tn , fp , _ , _ = cm . ravel () tnr = tn / ( tn +...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
plot_pca_iris.py
cm.nipy_spectral, edgecolor="k")...scikit-learn.org/stable/_downloads/1168f82083b3e70f31672e7c33738f8d/plot_pca_iris.py -
Probability calibration of classifiers — scikit...
as plt from matplotlib import cm plt . figure () y_unique = np...np . unique ( y ) colors = cm . rainbow ( np . linspace ( 0.0...scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html -
Confusion matrix — scikit-learn 1.5.0 documenta...
cm . Blues , normalize = normalize...scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html -
PCA example with Iris Data-set — scikit-learn 1...
cm . nipy_spectral , edgecolor =...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_iris.html -
The Digit Dataset — scikit-learn 1.5.0 document...
cm . gray_r , interpolation = "nearest"...scikit-learn.org/stable/auto_examples/datasets/plot_digits_last_image.html