Both train and test scores high. Could my model be overfitting?
Overfitting is nothing but when the model tries to rot learn the data given to it during the training process.

In such cases, the validation accuracy goes down as the model cannot interpret and classify unseen data.


  Reviewing the accuracies of the model, the validation accuracy soars to 0.8 which is quite good. 


The training accuracy is 0.96 which is a good sign and also it shows that model has generalised so well that it can classify all the data ( train and validation ) very well.