| Issue | #Downvotes for this reason | By |
|---|
| sklearn.naive_bayes.MultinomialNB(8) | Naive Bayes classifier for multinomial models The multinomial Naive Bayes classifier is suitable for classification with discrete features (e.g., word counts for text classification). The multinomial distribution normally requires integer feature counts. However, in practice, fractional counts such as tf-idf may also work. |
| sklearn.naive_bayes.MultinomialNB(8)_alpha | 1.0 |
| sklearn.naive_bayes.MultinomialNB(8)_class_prior | null |
| sklearn.naive_bayes.MultinomialNB(8)_fit_prior | true |
0.988 ± 0.0028 Per class Cross-validation details (10-fold Crossvalidation)
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0.9258 ± 0.0079 Per class Cross-validation details (10-fold Crossvalidation)
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0.8793 ± 0.0131 Cross-validation details (10-fold Crossvalidation)
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0.8631 ± 0.0108 Cross-validation details (10-fold Crossvalidation)
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0.0661 ± 0.0046 Cross-validation details (10-fold Crossvalidation)
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0.41 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
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0.9256 ± 0.0078 Cross-validation details (10-fold Crossvalidation)
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3186 Per class Cross-validation details (10-fold Crossvalidation) |
0.9261 ± 0.008 Per class Cross-validation details (10-fold Crossvalidation)
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0.9256 ± 0.0078 Cross-validation details (10-fold Crossvalidation)
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1.4798 ± 0.0014 Cross-validation details (10-fold Crossvalidation)
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0.1612 ± 0.0112 Cross-validation details (10-fold Crossvalidation)
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0.4527 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
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0.1904 ± 0.0067 Cross-validation details (10-fold Crossvalidation)
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0.4205 ± 0.0149 Cross-validation details (10-fold Crossvalidation)
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0.9205 ± 0.0128 Cross-validation details (10-fold Crossvalidation)
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