dataexample2.txt.result

this is also good for learning SVM algorithm

Processing Filename: demo\DataExample2.txt
Classifier:MCWithMultiFSet -Voting -Separator 1,120,121,150,154,225 -- IIS_classify -Iter 50
Message: Train-Test Split, Boundary: 100,  Classification, 
Error = 0.334174, Precision = 0.665826, Recall = 0.665826, F1 = 0.665826, 

Processing Filename: demo\DataExample2.txt
Classifier:ZeroR
Message: Train-Test Split, Boundary: 1,  Classification, 
Error = 1.000000, Precision = 0.000000, Recall = 0.000000, F1 = 0.000000, 

Processing Filename: demo\DataExample2.txt
Classifier:GMM_classify -Kernel 0 -CostFactor 3
Message: Train-Test Split, Boundary: -2,  Classification,  Shuffled