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| Hyperparameter | Value |
|---|---|
| memory | |
| steps | [('lemmatizer', FunctionTransformer(func=<function lemmatize_X at 0x7f5f1dd2fe50>)), ('tfidf', TfidfVectorizer(max_df=0.95, min_df=2, stop_words=['out', "mustn't", 'were', 'yours', 'ain', 'have', ';', '&', 'has', '+', "needn't", "you've", 'an', 'above', 'wouldn', 'll', 'aren', "should've", 'why', 'under', 'does', 'who', "you'd", 'is', 'itself', 'did', 'through', 'will', "shouldn't", 's', ...], tokenizer=<function tokenize_quote at 0x7f5f1dd73c10>)), ('rf', RandomForestClassifier(max_depth=14, max_features=0.1329083085318658, min_samples_leaf=7, min_samples_split=9, n_estimators=900, n_jobs=-1))] |
| transform_input | |
| verbose | False |
| lemmatizer | FunctionTransformer(func=<function lemmatize_X at 0x7f5f1dd2fe50>) |
| tfidf | TfidfVectorizer(max_df=0.95, min_df=2, stop_words=['out', "mustn't", 'were', 'yours', 'ain', 'have', ';', '&', 'has', '+', "needn't", "you've", 'an', 'above', 'wouldn', 'll', 'aren', "should've", 'why', 'under', 'does', 'who', "you'd", 'is', 'itself', 'did', 'through', 'will', "shouldn't", 's', ...], tokenizer=<function tokenize_quote at 0x7f5f1dd73c10>) |
| rf | RandomForestClassifier(max_depth=14, max_features=0.1329083085318658, min_samples_leaf=7, min_samples_split=9, n_estimators=900, n_jobs=-1) |
| lemmatizer__accept_sparse | False |
| lemmatizer__check_inverse | True |
| lemmatizer__feature_names_out | |
| lemmatizer__func | <function lemmatize_X at 0x7f5f1dd2fe50> |
| lemmatizer__inv_kw_args | |
| lemmatizer__inverse_func | |
| lemmatizer__kw_args | |
| lemmatizer__validate | False |
| tfidf__analyzer | word |
| tfidf__binary | False |
| tfidf__decode_error | strict |
| tfidf__dtype | <class 'numpy.float64'> |
| tfidf__encoding | utf-8 |
| tfidf__input | content |
| tfidf__lowercase | True |
| tfidf__max_df | 0.95 |
| tfidf__max_features | |
| tfidf__min_df | 2 |
| tfidf__ngram_range | (1, 1) |
| tfidf__norm | l2 |
| tfidf__preprocessor | |
| tfidf__smooth_idf | True |
| tfidf__stop_words | ['out', "mustn't", 'were', 'yours', 'ain', 'have', ';', '&', 'has', '+', "needn't", "you've", 'an', 'above', 'wouldn', 'll', 'aren', "should've", 'why', 'under', 'does', 'who', "you'd", 'is', 'itself', 'did', 'through', 'will', "shouldn't", 's', ']', 'should', "mightn't", 'my', 'ourselves', 'the', 'both', 'up', 'but', 'more', 're', 'weren', "you'll", 'over', 'there', 'it', '#', 'that', 'what', 'just', 'mustn', 'not', ':', 'further', 'had', "wouldn't", 'him', "weren't", 'a', 'doing', 'own', '=', 'me', 'mightn', 'ma', 'this', 'theirs', 'was', "shan't", 'can', 'themselves', '.', 'shouldn', 'y', 'about', '>', 'yourselves', 'on', 'once', 'against', 'few', 'you', '*', 'while', 'hadn', 'below', ' |
| tfidf__strip_accents | |
| tfidf__sublinear_tf | False |
| tfidf__token_pattern | (?u)\b\w\w+\b |
| tfidf__tokenizer | <function tokenize_quote at 0x7f5f1dd73c10> |
| tfidf__use_idf | True |
| tfidf__vocabulary | |
| rf__bootstrap | True |
| rf__ccp_alpha | 0.0 |
| rf__class_weight | |
| rf__criterion | gini |
| rf__max_depth | 14 |
| rf__max_features | 0.1329083085318658 |
| rf__max_leaf_nodes | |
| rf__max_samples | |
| rf__min_impurity_decrease | 0.0 |
| rf__min_samples_leaf | 7 |
| rf__min_samples_split | 9 |
| rf__min_weight_fraction_leaf | 0.0 |
| rf__monotonic_cst | |
| rf__n_estimators | 900 |
| rf__n_jobs | -1 |
| rf__oob_score | False |
| rf__random_state | |
| rf__verbose | 0 |
| rf__warm_start | False |
| Metric | Value |
|---|---|
| accuracy | 0.495488 |
| f1_score | 0.482301 |
[More Information Needed]