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 vote290 views1 answer
How To Encrypt a Python String
Python
1 vote360 views1 answer
Flask clear session
Python Flask
3 votes314 views3 answers
Remove x label matplotlib
Python
3 votes306 views1 answer
Join two set in python
Python
0 vote311 views1 answer
Colorama input python
Python
51 votes294 views6 answers
Python remove repeated elements from list
Python
2 votes288 views1 answer
Range python iterate by 2
Python
4 votes282 views1 answer
'numpy.ndarray' object has no attribute 'append'
Python
15 votes323 views2 answers
Delete the duplicates in python
Python
1 vote285 views1 answer
How to clear checkbox in tkinter
Python