List out wrongly and irightly classified classes

wrongly_classified.py

    #---------------------------------------------------------------------------------------------
    # Populate the Confusion Matrix
    #---------------------------------------------------------------------------------------------

    for key,val in wrong_per_class.items(): # Key is category and val is a list of wrong classes
        summed_wrong_classes =Counter(val).most_common()
        print(f"**To Predict {categories[key]}")
        for ele in summed_wrong_classes:
            print(f" --Predicted {categories[ele[0]]} count={ele[1]}")
            confusion_matrix[key][ele[0]]=ele[1]

    for key,val in right_per_class.items(): # Key is category and val is a list of wrong classes
        summed_right_classes =Counter(val).most_common()
        print(f"**To Predict {categories[key]}")
        for ele in summed_right_classes:
            print(f" --Predicted {categories[ele[0]]} count={ele[1]}")
            confusion_matrix[key][ele[0]]=ele[1]

    print("Confusion Matrix2 =\n",confusion_matrix)