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

0 vote182 views1 answer
Run python module from command line
Python
78 votes197 views6 answers
Wait in python
Python
0 vote198 views1 answer
Multigreading sys.exit does not work
Python
0 vote208 views4 answers
Pandas replace word begins with contains
Python
0 vote276 views2 answers
Spacy french stopwords
Python
1 vote181 views1 answer
Get int value of char python
Python
6 votes188 views1 answer
Pandas get entires that contain a string
Python
0 vote197 views1 answer
Python program to get equally distributed number from given range
Python
-1 vote198 views1 answer
Pandas subtract days from date
Python
1 vote200 views1 answer
Get page source code selenium python
Python