Deep Learning

I have python code that does a comparative classification using 4 different DL algorithms. It uses a grid search and saves the results in a CSV. I need to compute the number of parameters for each model to check a model's complexity. And also print a confusion matrix to see the accuracy value for each class. In addition, I need to determine how many features were required to identify a class and achieve a certain accuracy. I need assistance with code review and additions.