Number of classes c = ?
Number of input/target examples per class Ni = ? % i= 1:c
Dimensionality of input I = ?
Dimensionality of output O = ? % c or c-1?
Total number of I/O pairs N = sum(Ni) = ?
Data division ratio per class Ntrni/Nvali/Ntrni = ? % i= 1:c
Number of hidden nodes H = ?
Number of random weight initialization trials Ntrials = ?
Min, median, mean, std and max of PctErr (%E invalid name) over Ntrials
Similar tabulations per class.
Although training goal is to minimize MSEval because PctErrval is discontinuous, the only important results are the PctErrval and PctErrtst stats.
Hope this helps.
Greg
