| 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 |
0.9583 ± 0.0063 Per class Cross-validation details (10-fold Crossvalidation)
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0.7507 ± 0.0341 Cross-validation details (10-fold Crossvalidation)
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0.3444 ± 0.0211 Cross-validation details (10-fold Crossvalidation)
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0.2632 ± 0.0098 Cross-validation details (10-fold Crossvalidation)
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0.3798 ± 0.0012 Cross-validation details (10-fold Crossvalidation)
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0.8656 ± 0.0186 Cross-validation details (10-fold Crossvalidation)
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625 Per class Cross-validation details (10-fold Crossvalidation) |
0.8656 ± 0.0186 Cross-validation details (10-fold Crossvalidation)
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1.3181 ± 0.0124 Cross-validation details (10-fold Crossvalidation)
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0.6931 ± 0.025 Cross-validation details (10-fold Crossvalidation)
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0.4356 ± 0.0014 Cross-validation details (10-fold Crossvalidation)
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0.3195 ± 0.008 Cross-validation details (10-fold Crossvalidation)
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0.7336 ± 0.0172 Cross-validation details (10-fold Crossvalidation)
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0.6262 ± 0.0125 Cross-validation details (10-fold Crossvalidation)
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