<jupyter_start><jupyter_text>```f1:0.7316017316017316[[320  37][ 87 169]]```<jupyter_code>print(classification_report(y_test, y_pred))
from joblib import dump

dump(bc, '../model/bc.pkl')
dump(cv, '../model/cv.pkl') 
dump(naive_bayes, '../model/nb.pkl')<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.20848056537102475, 'fraction_numerical': 0.0989399293286219, 'mean_word_length': 7.352941176470588, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '593518', 'license': 'MIT', 'n_tokens_mistral': 144, 'n_tokens_neox': 123, 'n_words': 15, 'path': 'notebook/model_biterm.ipynb', 'repo_name': 'FooQoo/getting-started-prediction-competition', 'size': '283'}