YEP! That’s reasonable, Thank you, Subutai. Cyan
> 在 2015年9月30日，上午5:24，Subutai Ahmad <[email protected]> 写道： > > > Yes you could use a threshold for this. It is classifier specific - in this > case we're using the KNN classifier, so you could perhaps use a distance > threshold to place something into unknown. > > Also, sometimes the right answer is not clear. If the number 6 is > misclassified as 0, is that wrong? After all 6 is something that is like zero > plus some extra stuff added on. It also sort-of resembles a 1. > > --Subutai > > On Sat, Sep 26, 2015 at 8:48 PM, CyanM <[email protected] > <mailto:[email protected]>> wrote: > Hello,Subutai > Thank you for you answer, I get it. > And these days, I test mnist_experiment, I got another question： > For example: my train set only contain handwritten digit ‘0’ and ‘1’, but > test set is ‘6', the classifier still classify the test image into ‘0’ or > ‘1’. > which means whatever the test image is, it will be classified into the train > set category? in other ward, the classifier will classify the test image to > the most similar category? > I think maybe there should be a threshold to control classifier to the > unknown category, am I right? > Thank you > Regard. > > Cyan >
