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plot_multi_metric_evaluation.ipynb
1)[0][0]\n best_score = results[\"mean_test_%s\" % scorer][best_index]\n\n...etc...)\n\nThe ``best_estimator_``, ``best_index_``, ``best_score_``...scikit-learn.org/stable/_downloads/f57e1ee55d4c7a51949d5c26b3af07bb/plot_multi_metric_evaluation.... -
sitemap-news
com/health/health-news/usda-test-ground-beef-us-states-outbr...Newsen2024-04-29T18:14:35.990ZUSDA to test ground beef in states with outbreaks...www.nbcnews.com/sitemap/nbcnews/sitemap-news -
plot_classifier_comparison.py
and test part X, y = ds X_train, X_test, y_train, y_test = train_test_split(...Plot the testing points ax.scatter( X_test[:, 0], X_test[:, 1],...scikit-learn.org/stable/_downloads/2da0534ab0e0c8241033bcc2d912e419/plot_classifier_comparison.py -
slashdotMain
said that the company is "testing other types of video ad units,...Razer never submitted them for testing and only "stopped the false...rss.slashdot.org/Slashdot/slashdotMain -
plot_classifier_comparison.ipynb
y_test = train_test_split(\n X, y, test_size=0.4, random_state=42\n...the testing points\n ax.scatter(\n X_test[:, 0], X_test[:, 1],...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
top.css
navi-upper { padding: 10px 10px 0 0; text-align: right; font-size: 77%;/*10px*/...div.navi-description h3 { margin: 5px 0 10px; text-align: center; font-size: 85%;...dbflute.seasar.org/css/top.css -
58cffc413dd77f12.css
p:32px;grid-column-gap:32px;text-align:left;z-index:1}.Foote...s:2fr 1fr;padding:48px 64px;text-align:left;align-items:cent...www.elastic.co/_next/static/css/58cffc413dd77f1... -
2f5c2fe341e7500b.css
p:32px;grid-column-gap:32px;text-align:left;z-index:1}.Foote....logo,.LogoBar_logoBar8Column___QeKg .logo{text-align:center}.LogoBar_logoBar12Column__T1N2t...www.elastic.co/_next/static/css/2f5c2fe341e7500b.css -
plot_pca_iris.ipynb
"mimetype": "text/x-python", "name": "python",...scikit-learn.org/stable/_downloads/46b6a23d83637bf0f381ce9d8c528aa2/plot_pca_iris.ipynb -
plot_release_highlights_1_4_0.py
X_test, y_train, y_test = train_test_split(X_adult,...n(X_test) print(f"ROC AUC score is {roc_auc_score(y_test, y_decision)}")...scikit-learn.org/stable/_downloads/c15cce0dbcd8722cb5638987eff985c0/plot_release_highlights_1_4_0.py