FileFormat 3.0
## DESCRIPTION: ###############################################################
#-    This is a 3-category classification problem adapted from Fisher's
#-    prot data set. There are 4 predictive measurements made on each flower.
#-    The third category (Species3) is linearly separable from the other two 
#-    (and among these, only cases 17, 66, and 79 are not linearly separable). 
#-    We've added a 5th predictor, Zrandom, which is a Gaussian noise variable
#-    with mean 0 and units of standard deviation.
# NP FILE SETTINGS
    ResultsFile                prot.res
#   ReadWeightsFile            prot.wts
    SaveWeightsFile            prot.wts
    SaveTrainPrdFile           prot.ptr
#   SaveTrainImputFile prot.itr
#   SaveTestImputFile  prot.its
#   SaveTestPrdFile            prot.pts
# DATA FILE SETTINGS
    ReadTrainFile        prot.trn
#   ReadTestFile         prot.tst
   NHeaders  1          IDColumn YES
    StandardizeInputs 1   SaveStandWts NO   ImputeMissing median
    InputColumns 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
    OutputColumns 22 23 24
    NVars   24            ShuffleData YES
# REPORTING SETTINGS
    DescribeVars YES              MinCasesPerBin 25 
    NBoots     0         NEffectBoots  0 
    CalccIndex YES       ScoreThreshold 0.5
    OutputStatVars 0
# CONNECT CALLS
    Connect   1   21   22  24
    Connect   22  24   25  27   
# CONFIGURATION SETTINGS
    Ninputs   21          Nhidden   3          Noutputs   3
    kNN 0                1ofN NO
    HiddenUnitType  1    OutputUnitType 3
    WeightRange 0.001 
# TRAINING SETTINGS
    TrainCriterion 3     BiasPenalty NO       WeightDecay -0.001
    OptimizeMethod 1     SigmoidPrimeOffset 0
    QPMaxFactor 1.75     QPModeSwitchThreshold 0
    Stochastic NO       LearnRate 0.01    SplitLearnRate NO   Momentum 0.0
# BEST-BY-HOLDOUT SETTINGS
    PercentHoldout 50
    AutoTrain YES        MinEpochs   50      BeyondBestEpoch 1.5
    NSplits      10      SepBootXVal YES
# AUTOMATIC RELEVANCE DETERMINATION SETTINGS
    UseARD  NO       WhenARD auto    ARDTolerance 0.05   ARDFreq 25
    GroupSelection Input   BiasRelevance NO    ARDFactor 1