Test

Here we evaluate our model using a test dataset, by calculating various 
 evaluation metrics, and visualizing the results.

The evaluation metrics include:
  accuracy, 
  precision, 
  recall, 
  F1-score, 
  per_class_accuracy, 
  overall_accuracy 
  confusion_mtx 
 
 on the test dataset.