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fetch_species_distributions — scikit-learn 1.6....
scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_species_distributions.html -
1.13. Feature selection — scikit-learn 1.6.1 do...
based on univariate statistical tests. It can be seen as a preprocessing...common univariate statistical tests for each feature: false positive...scikit-learn.org/stable/modules/feature_selection.html -
LastaFlute移行 0.8.2 to 0.8.3 | LastaFlute
[App]ActionDefTest にメソッドを二つ追加 test_injectedResourceDefi() と test_lastaPresentsSomethi()...test_lastaPresentsSomethi() の二つ。 test_injectedResourceDefi() @ResourceアノテーションによるDI定義のポリシーチェック...dbflute.seasar.org/ja/lastaflute/howto/upgrade/migration/lamig082to083.html -
Permutation Importance with Multicollinear or C...
X_test , y_train , y_test = train_test_split ( X ,...accuracy on test data: { clf . score ( X_test , y_test ) : .2 }...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance_multicollinear.html -
Crafting a minimal reproducer for scikit-learn ...
the train_test_split X_train , X_test , y_train , y_test = train_test_split...( X_test , y_test ) other_score = gbdt . score ( X_test , y_test...scikit-learn.org/stable/developers/minimal_reproducer.html -
Examples — scikit-learn 1.6.1 documentation
Comparison of F-test and mutual information Comparison of F-test and mutual...regularization on training and test error Effect of model regularization...scikit-learn.org/stable/auto_examples/index.html -
StratifiedKFold — scikit-learn 1.6.1 documentation
Provides train/test indices to split data in train/test sets. This..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.html -
DetCurveDisplay — scikit-learn 1.6.1 documentation
X_test , y_train , y_test = train_test_split ( ......X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/modules/generated/sklearn.metrics.DetCurveDisplay.html -
CategoricalNB — scikit-learn 1.6.1 documentation
classification on an array of test vectors X. Parameters : X array-like...probability estimates for the test vector X. For each row x of...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
GradientBoostingClassifier — scikit-learn 1.6.1...
X_test = X [: 2000 ], X [ 2000 :] >>> y_train , y_test = y...y_train ) >>> clf . score ( X_test , y_test ) 0.913... apply ( X ) [source]...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html