Hi,
I am having trouble using the macro and micro averaged f1_score as shown
below
>>> gt = [0, 0, 1, 1, 0, 0, 1, 1, 0];
>>> gt
[0, 0, 1, 1, 0, 0, 1, 1, 0]
>>> pr = [0, 0, 1, 0, 0, 0, 1, 0, 0];
>>> from sklearn.metrics import f1_score
>>> f1_score(gt, pr, average='macro')
0.66666666666666663
>>> f1_score(gt, pr, average=None)
array([ 0.83333333, 0.66666667])
>>> f1_score(gt, pr, average='micro')
0.66666666666666663
>>>
The non-averaged version seems fine, but averaged versions are confusing.
Do you have any clues? I am using scikit-learn 0.14 with python 3.3
Best,
Yuan
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