x=read.csv("X.csv")y=read.csv("Y.csv")X.m=model.matrix(~.,x)[,-1]X.m=X.m[,colSums(X.m^2) !=0] #clear 0y1=y$DispFramesy2=y$NoAudioPlayedy3=y$NoRTPPktsset.seed(1)train=sample(1:nrow(X.m),35000)y1.train=y1[train]y2.train=y2[train]y3.train=y3[train]x.train=X.m[train,1:ncol(X.m)]Xframe=data.frame(x.train)x.train=Xframe[,c('all_..idle','X..memused','X..swpused','proc.s','cswch.s','file.nr','sum_intr.s','rtps','ldavg.1','tcpsck','bread.s','pgfree.s')]test=-trainy1.test=y1[test]y2.test=y1[test]y3.test=y1[test]set.seed(1)trainx=sample(1:nrow(X.m),15000)x.test=X.m[trainx,1:ncol(X.m)]Xframe=data.frame(x.train)Xframetest=data.frame(x.test)x.test=Xframetest[,c('all_..idle','X..memused','X..swpused','proc.s','cswch.s','file.nr','sum_intr.s','rtps','ldavg.1','tcpsck','bread.s','pgfree.s')]ptm