Neural Network Validation
Hi,
I have a (basic - I think) question. When I do a NN model and performance validation, I can clearly see that 1 case was incorrectly classified (refer below). (There were more, but ignore that for now).
true CC true CF true GA class precision
pred. CC 1 0 2 33.33%
pred. CF 0 2 0 100.00%
pred. GA 1 0 11 91.67%
class recall 50.00% 100.00% 84.62%
This data is about authorship attribution, so I know that the author CC was mistakingly identified as author GA. So now I want to look at this specific record and investigate it further. How do I identify this specific case?
Any help would be appreciated.
Thanks
BK
I have a (basic - I think) question. When I do a NN model and performance validation, I can clearly see that 1 case was incorrectly classified (refer below). (There were more, but ignore that for now).
true CC true CF true GA class precision
pred. CC 1 0 2 33.33%
pred. CF 0 2 0 100.00%
pred. GA 1 0 11 91.67%
class recall 50.00% 100.00% 84.62%
This data is about authorship attribution, so I know that the author CC was mistakingly identified as author GA. So now I want to look at this specific record and investigate it further. How do I identify this specific case?
Any help would be appreciated.
Thanks
BK