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Added question about model accuracy #1

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5 changes: 4 additions & 1 deletion model.py
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Expand Up @@ -72,4 +72,7 @@ def text_preprocessing(mystr):

filename = 'NaiveModel.pkl'
pickle.dump(model, open(filename, 'wb'))




# Hi, I just cloned your repo and noticed something interesting. We're both using the same dataset and model, but I'm curious whether your model predicts accurately even though the data is imbalanced. You're using only predict() without any class weights or threshold tuning, right? Can you please let me know how it's still performing well on the spam class?"