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| Hyperparameter | Value |
|---|---|
| memory | |
| steps | [('vectorizer', CountVectorizer()), ('classifier', MultinomialNB())] |
| verbose | False |
| vectorizer | CountVectorizer() |
| classifier | MultinomialNB() |
| vectorizer__analyzer | word |
| vectorizer__binary | False |
| vectorizer__decode_error | strict |
| vectorizer__dtype | <class 'numpy.int64'> |
| vectorizer__encoding | utf-8 |
| vectorizer__input | content |
| vectorizer__lowercase | True |
| vectorizer__max_df | 1.0 |
| vectorizer__max_features | |
| vectorizer__min_df | 1 |
| vectorizer__ngram_range | (1, 1) |
| vectorizer__preprocessor | |
| vectorizer__stop_words | |
| vectorizer__strip_accents | |
| vectorizer__token_pattern | (?u)\b\w\w+\b |
| vectorizer__tokenizer | |
| vectorizer__vocabulary | |
| classifier__alpha | 1.0 |
| classifier__class_prior | |
| classifier__fit_prior | True |
| Metric | Value |
|---|---|
| accuracy including 'O' | 0.905322 |
| f1 score including 'O | 0.905322 |
| precision excluding 'O' | 0.892857 |
| recall excluding 'O' | 0.404732 |
| f1 excluding 'O' | 0.556984 |
@inproceedings{...,year={2022}}