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feature_selection.rst.txt
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/_sources/modules/feature_selection.rst.txt -
slashdotMain
s-workers-skipped-required-tests-on-787-but-recorded-work-as...vehicle out on real roads for testing. With proper equipment attached...rss.slashdot.org/Slashdot/slashdotMain -
sklearn.model_selection.cross_val_predict — sci...
sample belongs to exactly one test set, and its prediction is computed...cross_val_score unless all tests sets have equal size and the...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_predict.html -
glossary.rst.txt
common tests This refers to the tests run on almost every...``(train_idx, test_idx)`` pairs. Each of {train,test}_idx is a 1d...scikit-learn.org/stable/_sources/glossary.rst.txt -
roadmap.rst.txt
Improve scikit-learn common tests suite to make sure that (at...scikit-learn.org/stable/_sources/roadmap.rst.txt -
cross_validation.rst.txt
available data as a **test set** ``X_test, y_test``. Note that the...>>> X_train, X_test, y_train, y_test = train_test_split( ... X,...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
install.rst.txt
running the full scikit-learn test suite via automated continuous...ckages\\sklearn\\datasets\\tests\\data\\openml\\292\\api-v1-...scikit-learn.org/stable/_sources/install.rst.txt -
related_projects.rst.txt
facilitates best practices for testing and documenting estimators....More focused on statistical tests and less on prediction than...scikit-learn.org/stable/_sources/related_projects.rst.txt -
An emerging new picture of animal consciousness...
don’t pass the mirror test. The mirror test is ableism! I mean most...using the “mirror-mark test,” which tests whether an animal, upon...www.metafilter.com/203484/An-emerging-new-picture-of-animal-consciousness -
1.10. Decision Trees — scikit-learn 1.4.2 docum...
validate a model using statistical tests. That makes it possible to account...= 0 ) . fit ( X , y ) >>> X_test = np . array ([ np . nan ])...scikit-learn.org/stable/modules/tree.html