NLP, Classification, Data Science, Data Science Projects.
LogisticRegression().fit(m,target) return model , log Then we train the model for each label: target.columns df_classification = pd.DataFrame() #We store probabilities into a Dataframe df_classification['Comments'] = test['comment_text'] for i,j in enumerate(target.columns): print('fit', j)