Hi,
Thank you for your replies
as for the prediction length, i run this code:
"
library(arules)
data(AdultUCI)
AdultUCI$workclass<-factor(AdultUCI$workclass, levels =
c(levels(AdultUCI$workclass), "UNKNOWN"))
AdultUCI$workclass[is.na(AdultUCI$workclass)]<-"UNKNOWN"
AdultUCI$occupation<-factor(AdultUCI$occupation, levels =
c(levels(AdultUCI$occupation), "UNKNOWN"))
AdultUCI$occupation[is.na(AdultUCI$occupation)]<-"UNKNOWN"
AdultUCI$"native-country"<-factor(AdultUCI$"native-country", levels =
c(levels(AdultUCI$"native-country"), "UNKNOWN"))
AdultUCI$"native-country"[is.na(AdultUCI$"native-country")]<-"UNKNOWN"
tt<-sort(table(AdultUCI$"native-country"))
AdultUCI$"native-country"<-factor(AdultUCI$"native-country", levels =
c(levels(AdultUCI$"native-country"), "OTHER"))
AdultUCI$"native-country"[!is.na(match(AdultUCI$"native-country",names(tt[1:11])))]<-"OTHER"
drop=names(tt[1:11])
AdultUCI$"native-country"<-factor(AdultUCI$"native-country", levels =
levels(AdultUCI$"native-country")[-which(levels(AdultUCI$"native-country")
%in% drop)])
names(AdultUCI)=c("age","WorkClass","fnlwgt","Education","educationNum","maritalStatus","occupation","relationship","race","sex","capitalGain","capitalLoss","hoursPerWeek","nativeCountry","YearIncome")
adult<-AdultUCI[1:32561,]
library(randomForest)
frf=formula(YearIncome~age+WorkClass+fnlwgt+Education
+educationNum+maritalStatus+occupation
+relationship+race+sex+capitalGain+capitalLoss
+hoursPerWeek+nativeCountry)
{RF=randomForest(data=adult
,frf
,ntree=200
,mtry=4
,keep.forest=TRUE)
}
pr<-predict(RF,adult[1,],predict.all=TRUE)
"
and get this results:
> str(pr)
List of 2
$ aggregate : Factor w/ 2 levels "small","large": 1
$ individual: chr [1, 1:198] "small" "small" "small" "small" ...
..- attr(*, "dimnames")=List of 2
.. ..$ : chr "1"
.. ..$ : NULL
>
why don't i have 200 votes?
Thanks,
Dror
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