Issue | #Downvotes for this reason | By |
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__main__.Flow(1) | Flow generated by run_task |
__main__.Flow(1)_preprocessor | Pipeline(steps=[('imputer', Imputer(axis=0, copy=True, missing_values='NaN', strategy='median', verbose=0)), ('onehotencoder', OneHotEncoder(categorical_features=[True, True, False, True, False, True, True, True, True, True, True, True, True, True],
dtype= |
__main__.Flow(1)_pipeline | Pipeline(steps=[('multinomialnb', MultinomialNB(alpha=0.35000000000000003, class_prior=None, fit_prior=True))]) |
0.8876 Per class Cross-validation details (10-fold Crossvalidation)
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0.8172 Per class Cross-validation details (10-fold Crossvalidation)
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0.5279 Cross-validation details (10-fold Crossvalidation)
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18064.7654 Cross-validation details (10-fold Crossvalidation)
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0.2048 Cross-validation details (10-fold Crossvalidation)
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0.3641 Cross-validation details (10-fold Crossvalidation)
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48842 Per class Cross-validation details (10-fold Crossvalidation) |
0.8355 Per class Cross-validation details (10-fold Crossvalidation)
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0.809 Cross-validation details (10-fold Crossvalidation)
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0.7939 Cross-validation details (10-fold Crossvalidation)
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0.809 Per class Cross-validation details (10-fold Crossvalidation)
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0.5624 Cross-validation details (10-fold Crossvalidation)
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0.4266 Cross-validation details (10-fold Crossvalidation)
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0.3771 Cross-validation details (10-fold Crossvalidation)
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0.8838 Cross-validation details (10-fold Crossvalidation)
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