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model_evaluation.rst.txt
math:: \text{precision} = \frac{\text{tp}}{\text{tp} + \text{fp}},...math:: \text{recall} = \frac{\text{tp}}{\text{tp} + \text{fn}},...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
index.rst.txt
t-of-core classification of text documents</div> </div> .. raw::...b/sphx_glr_plot_grid_search_text_feature_extraction_thumb.png...scikit-learn.org/stable/_sources/auto_examples/index.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 -
linear_model.rst.txt
cost of :math:`O(n_{\text{samples}} n_{\text{features}}^2)`, assuming...that :math:`n_{\text{samples}} \geq n_{\text{features}}`. .....scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
about.rst.txt
|aphp| image:: images/logo_APHP_text.png :width: 150pt :target: https://aphp.fr/... .. raw :: html <div style="text-align: center;"> <a class="btn...scikit-learn.org/stable/_sources/about.rst.txt -
test.cpp
#include <sdtio.h> int main(void) { printf("Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。"); }raw.githubusercontent.com/codelibs/fess-testdata/master/source_code/test.cpp -
test_nocharset.html
Lorem ipsum. (ロレム・イプサム) 吾輩は猫である。raw.githubusercontent.com/codelibs/fess-testdata/master/html/test_nocharset.html -
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 -
governance.rst.txt
.. _governance: ========== Scikit-learn governance and decision-making ========== The purpose of this document is to formalize the governance process used by the scikit-learn project, to clarify ho...scikit-learn.org/stable/_sources/governance.rst.txt -
plot_multi_metric_evaluation.rst.txt
``'_<scorer_name>'`` (``'mean_test_precision'``, ``'rank_test_precision'``, etc...)...style in (("train", "--"), ("test", "-")): sample_score_mean =...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt