#wd=working_directory

project=myProject

doClassification=false

classificationClassName=class

doRegression=false

regressionClassName=class

trainFile=trainFile1.csv, description

trainFile=trainFile2.csv

#mergingID=identifier

sampling=true

samplingFold=3

#testSamplingFile=testFile1.csv

#excluded=columnA,columnB

numberOfBestModels=1

numberOfBestModelsSortingMetric=AVG_MCC

numberOfBestModelsSortingMetricThreshold=0.6

combineModels=false

combinationRule=AVG

debug=false

printFailedModels=false

cpus=max

coptimizers=AUC, MCC, FDR, BER, ACC

roptimizers=CC, RMSE 

maxNumberOfSelectedFeatures = 1000

maxNumberOfFeaturesInModel = 250

bootstrapFolds=100

spearmanCorrelation_lower = -0.99

spearmanCorrelation_upper = 0.99

pearsonCorrelation_lower = -0.99

pearsonCorrelation_upper = 0.99

maxRankingScoreDifference = 0.005

retreiveCorrelatedGenesByRankingScore=false

classificationFastWay=false

ccmd=bayes.NaiveBayes -K, SEN

ccmd=bayes.NaiveBayes -K, AUC

ccmd=misc.VFI -B 0.4, SEN

ccmd=misc.VFI -B 0.4, AUC

ccmd=misc.VFI -B 0.6

ccmd=trees.J48

regressionFastWay=false

rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0", CC

rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0", RMSE