def calc_accuracy(confusion_matrix1,class_num):
    print(confusion_matrix1)
    TP = confusion_matrix1[class_num,class_num]
    TN = 0.0
    print(Total)
    for line in confusion_matrix1:
        for elem in line:
            Total += elem

    aux_cm = np.delete(confusion_matrix1, class_num, 0)

    for line in aux_cm:
        for elem in line:
            TN += elem
    print(TN)
    print(((TP + TN)/ Total)*100)
    return ((TP + TN)/ Total)*100