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#Load & Assign Files | |
TrainDataOrange <- read.arff("D:/Downloads/orange_train.arff") | |
colnames(TrainDataOrange)[colnames(TrainDataOrange)=="Var230"] <- "class" | |
TestDataOrange <- read.arff("D:/Downloads/orange_test.arff") | |
colnames(TestDataOrange)[colnames(TestDataOrange)=="Var230"] <- "class" | |
#Obtain Class Values | |
Actual <- TestDataOrange[, 230] | |
#Ranking | |
A <- GainRatioAttributeEval(class ~ . , data = TrainDataOrange,na.action=NULL ) | |
ranked_list <- A[order(A)] | |
A[order(-A)] | |
#Feature Drop | |
for (i in seq(225,5,-5)) { | |
cat("Number of features selected:",i,"\n") | |
D <- (225-i) | |
s <- ranked_list[1:D] | |
cols.dont.want <- c(names(s)) | |
TrainDataOrange1 <- TrainDataOrange[, !names(TrainDataOrange) %in% cols.dont.want, drop=T] | |
#J48 Classifier | |
classifier <- J48(class~.,data=TrainDataOrange1,na.action=NULL) | |
TestDataOrange1 <- TestDataOrange[, !names(TrainDataOrange) %in% cols.dont.want, drop=T] | |
pred<-predict(classifier,TestDataOrange1, na.action=NULL,seed=1) | |
#Scoring | |
P11<-0 | |
P12<-0 | |
P21<-0 | |
P22<-0 | |
Actual[] | |
for(K in seq(1,1667)) | |
{ | |
if(Actual[K]==-1) | |
{ | |
if(pred[K]==-1) | |
{ | |
P11<-P11+1 | |
} | |
else | |
{ | |
P12<-P12+1 | |
} | |
} | |
else if(Actual[K]==1) | |
{ | |
if(pred[K]==1) | |
{ | |
P22<-P22+1 | |
} | |
else | |
{ | |
P21<-P21+1 | |
} | |
} | |
} | |
#F_Score | |
Prec_1<-(P11/(P11+P21)) | |
Prec_2<-(P22/(P22+P12)) | |
Recall_1<-(P11/(P11+P12)) | |
Recall_2<-(P22/(P22+P21)) | |
F_1<-(2*Prec_1*Recall_1)/(Prec_1+Recall_1) | |
F_2<-(2*Prec_2*Recall_2)/(Prec_2+Recall_2) | |
paste("This is the F2 score",F_2) | |
} | |
t<-system.time(predict(classifier,TestDataOrange1, na.action=NULL,seed=1)) | |
paste("This is the total classification time", t[[1]]) | |
#IBk Classifier | |
classifier <- IBk(class~.,data=TrainDataOrange1,na.action=NULL) | |
#NaiveBayes | |
NB <- make_Weka_classifier("weka/classifiers/bayes/NaiveBayes") | |
classifier <- NB(class~.,data=TrainDataOrange1,na.action=NULL) |
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