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plot_classifier_comparison.ipynb
C=0.025, random_state=42),\n SVC(gamma=2, C=1, random_state=42),\n...max_depth=5, n_estimators=10, max_features=1, random_state=42\n ),\n...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
friends-Eclipse-GitRepositories-right-click-pas...
17639795 width=1566, height=1054, bitDepth=8, colorType=RGBAlpha,...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...dbflute.seasar.org/ja/data/model/friends/eclipse/operation/git/friends-Eclipse-GitRepositories-ri... -
friends-Eclipse-GitRepositories-wizard-3rd-dest...
17639795 width=1566, height=1346, bitDepth=8, colorType=RGBAlpha,...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...dbflute.seasar.org/ja/data/model/friends/eclipse/operation/git/friends-Eclipse-GitRepositories-wi... -
whole-eclipse-editor-templates.zip
// ========== // ========== // Hook // ====== // ========== //...Logic // ========== // ========== // Attribute // ========= // ==========...dbflute.seasar.org/download/misc/settings/whole-eclipse-editor-templates.zip -
linear_model.rst.txt
unit deviance : ========== ========== ========== Distribution..._linear_model: ========== Linear Models ========== .. currentmodule::...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
pygments.css
html[data-theme="light"] .highlight pre { line-height: 125%;...125%; } html[data-theme="light"] .highlight td.linenos .normal { color:...scikit-learn.org/stable/_static/pygments.css -
ClassifierTags — scikit-learn 1.6.1 documentation
poor_score : bool = False , multi_class : bool = True , multi_label...make_blobs(n_samples=300, random_state=0) . The datasets and...scikit-learn.org/stable/modules/generated/sklearn.utils.ClassifierTags.html -
eclipse-location-copyrename-snapshot.png
17639795 width=1564, height=720, bitDepth=8, colorType=RGBAlpha, ...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...dbflute.seasar.org/data/snapshot/friends/eclipse/install/eclipse-location-copyrename-snapshot.png -
Outlier detection on a real data set — scikit-l...
contamination = 0.25 ), "OCSVM" : OneClassSVM ( nu = 0.25 , gamma = 0.35..., levels = [ 0 ], colors = color , ax = ax , ) legend_lines ....scikit-learn.org/stable/auto_examples/applications/plot_outlier_detection_wine.html -
zero_one_loss — scikit-learn 1.6.1 documentation
normalize = True , sample_weight = None ) [source] #...loss float or int, If normalize == True , return the fraction of...scikit-learn.org/stable/modules/generated/sklearn.metrics.zero_one_loss.html