hi robert,
If you look at classification report it returns:
---
precision recall f1-score support
-1 0.53 0.44 0.48 18
1 0.63 0.71 0.67 24
avg / total 0.59 0.60 0.59 42
---
but if you call f1_score(y_true, y_pred) it always returns the
positive f1-score (.67 in the above example) and i would like to get
the average f1-score for the two classes i.e. .59.
cheers,
satra
On Wed, Nov 2, 2011 at 5:38 PM, Robert Layton <[email protected]>wrote:
>
> On 3 November 2011 08:32, Satrajit Ghosh <[email protected]> wrote:
>
>> how do i get at the average f1_score if i have two labels 1 and -1 or 1
>> and 0? it always seems to return the positive one.
>>
>> cheers,
>>
>> satra
>>
>>
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>
> I'm not sure I understand your problem.
> To clarrify, your labels are something like:
>
> labels_a = [1,-1,1,1,1,-1]
> labels_b = [0, 1,1,1,0,0]
>
> And you want to calculate the f_1?
>
> f_1 should always be positive - its the harmonic mean of precision and
> recall, both of which are bounded in [0,1].
>
>
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