How can I implement my own custom performance function
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Hi All,
I am using nn toolbox functions to create a neural network for classification purpose (2 output neuron). Instead of using standard performance function to be optimized, I want to use my own. Such that my performance function will be:
( fp/(fp+tn) ) + ( fn/(fn+tp) );
where
- tp: true positive
- fn: false negative
- and so on
of course output y of the network must be converted to 0 or 1. maybe like this:
yPred = ( y(:,1) > y(:,2) );
how can I do this with using newpr or newff?
any help appreciated Thanks
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