I’m wondering if anyone can identify the purpose of this test:
check_classifiers_train(), specifically this line:
https://github.com/scikit-learn/scikit-learn/blob/ef5cb84a/sklearn/utils/estimator_checks.py#L1106
My custom classifier (which I’m hoping to submit to scikit-learn-contrib)
is failing this test:
File
"/Users/mcapizzi/miniconda3/envs/nb_plus_svm/lib/python3.6/site-packages/sklearn/utils/estimator_checks.py",
line 1106, in check_classifiers_train
assert_greater(accuracy_score(y, y_pred), 0.83)
AssertionError: 0.31333333333333335 not greater than 0.83
And while it’s disturbing that my classifier is getting 31% accuracy when,
clearly, the test writer expects it to be in the upper-80s, I’m not sure I
understand why that would be a test condition.
Thanks for any insight.
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