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| Hyperparameter | Value |
|---|---|
| memory | |
| steps | [('vectorizer', TfidfVectorizer(encoding='latin-1', min_df=5, ngram_range=(1, 2), sublinear_tf=True)), ('mnb', MultinomialNB())] |
| verbose | False |
| vectorizer | TfidfVectorizer(encoding='latin-1', min_df=5, ngram_range=(1, 2), sublinear_tf=True) |
| mnb | MultinomialNB() |
| vectorizer__analyzer | word |
| vectorizer__binary | False |
| vectorizer__decode_error | strict |
| vectorizer__dtype | <class 'numpy.float64'> |
| vectorizer__encoding | latin-1 |
| vectorizer__input | content |
| vectorizer__lowercase | True |
| vectorizer__max_df | 1.0 |
| vectorizer__max_features | |
| vectorizer__min_df | 5 |
| vectorizer__ngram_range | (1, 2) |
| vectorizer__norm | l2 |
| vectorizer__preprocessor | |
| vectorizer__smooth_idf | True |
| vectorizer__stop_words | |
| vectorizer__strip_accents | |
| vectorizer__sublinear_tf | True |
| vectorizer__token_pattern | (?u)\b\w\w+\b |
| vectorizer__tokenizer | |
| vectorizer__use_idf | True |
| vectorizer__vocabulary | |
| mnb__alpha | 1.0 |
| mnb__class_prior | |
| mnb__fit_prior | True |
| mnb__force_alpha | True |
[More Information Needed]