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| mlpcvreport http://forum.alglib.net/viewtopic.php?f=2&t=395 |
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| Author: | scorelord [ Thu Jun 30, 2011 1:21 am ] |
| Post subject: | mlpcvreport |
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! |
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| Author: | Sergey.Bochkanov [ Mon Jul 04, 2011 8:02 pm ] |
| Post subject: | Re: mlpcvreport |
relclserror is a relative classification error - number of incorrectly classified cases divided by total number of cases. avgce is average cross-entropy (measured in bits per sample, see Wikipedia for more information about cross-entropy) other guesses are correct :) |
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