In the application, add the features computed by fproc to the hashed term frequencies with a hash size of 162 . Fit an elastic net model on the training set and predict the testing classification...

In the application, add the features computed by fproc to the hashed term frequencies with a hash size of 162 . Fit an elastic net model on the training set and predict the testing classification rate. Does this improve the overall classification rate?