def calc_accuracy(confusion_matrix1,class_num):
    print(confusion_matrix1)
    TP = confusion_matrix1[class_num,class_num]
    TN = 0.0
    Total = np.sum(confusion_matrix1)
    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
    if(class_num==0):
        TN=confusion_matrix1[0,1]
    else:
        TN=confusion_matrix1[0,0]

    print(TN)
    print(((TP + TN)/ Total)*100)
    return ((TP + TN)/ Total)*100