.. _example_feature_selection_plot_permutation_test_for_classification.py: ================================================================= Test with permutations the significance of a classification score ================================================================= In order to test if a classification score is significative a technique in repeating the classification procedure after randomizing, permuting, the labels. The p-value is then given by the percentage of runs for which the score obtained is greater than the classification score obtained in the first place. .. image:: images/plot_permutation_test_for_classification_001.png :align: center **Script output**:: Classification score 0.513333333333 (pvalue : 0.00990099009901) **Python source code:** :download:`plot_permutation_test_for_classification.py ` .. literalinclude:: plot_permutation_test_for_classification.py :lines: 13- **Total running time of the example:** 7.64 seconds ( 0 minutes 7.64 seconds)