On the Machine Learning course with Python I cannot pass the case 5 test. I have created some mechanisms to avoid the division by 0 but it is not that.
tp, fp, fn, tn = [int(x) for x in input().split()]
if tp+fp+fn+tn == 0:
accuracy = 0
else:
accuracy = round((tp+tn)/(tp+fp+fn+tn),4)
if tp+fp == 0:
precision = 0
else:
precision = round((tp)/(tp+fp),4)
if tp+fn == 0:
recall = 0
else:
recall = round((tp)/(tp+fn),4)
if precision + recall == 0:
f1_score = 0
else:
f1_score = round((2*precision*recall)/(precision+recall),4)
print(accuracy)
print(precision)
print(recall)
print(f1_score)
Use the round function only in the last e. g. print statement. That should help. Otherwise the "round errors" will add up and you get wrong numbers in the output.
