Text Classification in Python

Overall, we obtain really good accuracy values for every model. We can observe that the Gradient Boosting, Logistic Regression and Random Forest models seem to overfit since they have an extremely high training set accuracy but a lower test set accuracy, so we'll discard them. We will choose the SVM classifier above the remaining models because it has the highest test set accuracy, which is really near to the training set accuracy.