| 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 |
0.6233 ± 0.0359 Per class Cross-validation details (10-fold Crossvalidation)
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0.5981 ± 0.0356 Per class Cross-validation details (10-fold Crossvalidation)
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0.1962 ± 0.0708 Cross-validation details (10-fold Crossvalidation)
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0.1956 ± 0.0691 Cross-validation details (10-fold Crossvalidation)
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0.4023 ± 0.0345 Cross-validation details (10-fold Crossvalidation)
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0.5 Cross-validation details (10-fold Crossvalidation)
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0.5981 ± 0.0354 Cross-validation details (10-fold Crossvalidation)
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2600 Per class Cross-validation details (10-fold Crossvalidation) |
0.5981 ± 0.0354 Per class Cross-validation details (10-fold Crossvalidation)
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0.5981 ± 0.0354 Cross-validation details (10-fold Crossvalidation)
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1 Cross-validation details (10-fold Crossvalidation)
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0.8047 ± 0.069 Cross-validation details (10-fold Crossvalidation)
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0.5 Cross-validation details (10-fold Crossvalidation)
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0.6268 ± 0.0286 Cross-validation details (10-fold Crossvalidation)
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1.2536 ± 0.0572 Cross-validation details (10-fold Crossvalidation)
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0.5981 ± 0.0354 Cross-validation details (10-fold Crossvalidation)
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