TfidfVectorizer(analyzer='word', binary=False, decode_error='strict',
dtype=, encoding='utf-8', input='content',
lowercase=False, max_df=1.0, max_features=None, min_df=2,
ngram_range=(1, 3), norm='l2', preprocessor=None, smooth_idf=True,
stop_words=None, strip_accents=None, sublinear_tf=True,
token_pattern="[-+$€£]?\\d+(?:[.,/-]\\d+)*%?|\\w+(?:[-&]\\w+)*|[#@]?\\w+\\b|[\\U00010000-\\U0010ffff\\U0001F300-\\U0001F64F\\U0001F680-\\U0001F6FF\\u2600-\\u26FF\\u2700-\\u27BF]|['-.:()\\[\\],;?!*]{2,4}",
tokenizer=None, use_idf=True, vocabulary=None)
MultinomialNB(alpha=0.21052631578947367, class_prior=None, fit_prior=True)
[[ 2 0 0]
[ 0 12 0]
[ 0 0 16]]
precision recall f1-score support
incoherent 1.00 1.00 1.00 2
irrelevant 1.00 1.00 1.00 12
relevant 1.00 1.00 1.00 16
avg / total 1.00 1.00 1.00 30