Hi, I'm trying to determine the generalization error of different neural networks in the excellent ALGLIB library on a set of training data. Alglib includes handy functions that perform cross-validation and return a mlpcvreport object containing the generalization error or at least a set of numbers. My question relates to what error is represented by each variable contained in the object:
Code:
double relclserror; //?????
double avgce; //??????
double rmserror; //probably is root mean square error
double avgerror; //probably is average error
double avgrelerror; //probably is average relative error
I've included my guesses above. The first two especially are a mystery to me.
Thanks!