Model training and testing

Now we are ready to start the model training phase by calling the main function create_model_with_kfold_cross_validation() for building and training the CNN model using 10-fold cross-validation; then we can call the testing function to measure the model's ability to generalize to the test set:

if __name__ == '__main__':
  info_string, models = create_model_with_kfold_cross_validation()
  test_generality_crossValidation_over_test_set(info_string, models)