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=0.10526315789473684, class_prior=None, fit_prior=True)

[[31  0]
 [ 0 16]]

             precision    recall  f1-score   support

 Irrelevant       1.00      1.00      1.00        31
   Relevant       1.00      1.00      1.00        16

avg / total       1.00      1.00      1.00        47