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run.py
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run.py
@ -15,6 +15,7 @@ x_train_vectorized = tfidf_vectorizer.fit_transform(x_train['text'].values)
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mnb_model = MultinomialNB().fit(x_train_vectorized, y_train.values.ravel())
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mnb_model = MultinomialNB().fit(x_train_vectorized, y_train.values.ravel())
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# Dev data
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# Dev data
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x_dev_prepared = tfidf_vectorizer.transform(x_dev['text'].values)
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x_dev_prepared = tfidf_vectorizer.transform(x_dev['text'].values)
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predictions = mnb_model.predict(x_dev_prepared)
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predictions = mnb_model.predict(x_dev_prepared)
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