MAPE python

def percentage_error(actual, predicted):
    res = np.empty(actual.shape)
    for j in range(actual.shape[0]):
        if actual[j] != 0:
            res[j] = (actual[j] - predicted[j]) / actual[j]
        else:
            res[j] = predicted[j] / np.mean(actual)
    return res

def mean_absolute_percentage_error(y_true, y_pred): 
    return np.mean(np.abs(percentage_error(np.asarray(y_true), np.asarray(y_pred)))) * 100

Source: stackoverflow.com

Similar codes

1 vote203 views2 answers
Correlation between categorical and continuous variables
Python
2 votes204 views1 answer
What is modulus in python
Python
0 vote206 views1 answer
How to copy items in list n times in list python
Python
2 votes197 views2 answers
How to code a yes or no question in python v3.8
Python
0 vote208 views1 answer
Matplotlib savefig cutting off graph
Python
0 vote193 views2 answers
Blog in django
Python
9 votes203 views2 answers
Python delete all data from file
Python
12 votes294 views5 answers
Django-cors-headers
Python Django
0 vote195 views6 answers
Python import file from same directory
Python
0 vote258 views1 answer
How to get data from multiple tables in django
Python