Hi,
I have a small doubt regarding naive Bayes. I am able to classify the
data's properly but i am just stuck up with how to get the probability
values for naive bayes. In the case of SVM we have "attr" function
that
helps in displaying the probability values. Is there any function similar to
"attr" in naive Bayes that can be used for displaying the attribute
values.
my code is given below:
library(e1071)
train<-read.table("C:/Users/Aadhithya/Desktop/ThesisDatasetsComb/Part1/Dataset1/groups/train/D1TRg10.txt",header=T);
test<-read.table("C:/Users/Aadhithya/Desktop/ThesisDatasetsComb/Part1/Dataset1/groups/test/D1TEg10.txt",header=T);
length(test);
cl <- c(c(rep("ALL",10), rep("AML",10)));
cl <- factor(cl)
model <- naiveBayes(t(train),cl);
pred<-predict(model, t(test),decision.values=TRUE,probability=TRUE)
attr(pred,"probabilities");
table(pred,t(cl));
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