Used traditional machine learning algorithm ( Logistic Regression, Linear-SVM with different NLP featurization technics CountVectorizer, TfidfVecforizer), the problem was multi-label classification and used performance matric as micro f1-score, but calculated the hamming loss, macro f-score, accuracy.