Displaying 3 results from an estimated 3 matches for "workclass".
2011 Nov 13
1
libary(Rweka) J48 design tree
...ollowing
message
plot(m1)
Error in plot.Weka_tree(m1) :
Plotting of trees with multi-way splits is currently not implemented.
#The code
library(RWeka)
library(randomForest)
library(party)
if(require(mlbench, quietly = TRUE) && require(party, quietly = TRUE))
m1 <- J48(income2 ~ age+workclass+native.country, data = dataset)
m1
plot(m1)
and results
#M1 Results
workclass = ?: <=50K (1433.0/120.0)
workclass = Federal-gov: <=50K (696.0/281.0)
workclass = Local-gov: <=50K (1542.0/469.0)
workclass = Never-worked: <=50K (5.0)
workclass = Private: <=50K (16939.0/3705.0)
workclass...
2010 Feb 16
2
Random Forest
Hi,
i'm using randomForest package and i have 2 questions:
1. Can i drop one tree from an RF object?
2. i have a 300 trees forest, but when i use the predict function on new
data (with predict.all=TRUE) i get only 270 votes. did i do something wrong?
Thanks
--
View this message in context: http://n4.nabble.com/Random-Forest-tp1557464p1557464.html
Sent from the R help mailing list archive at
2011 Jul 09
1
Eliminate level information
...e that has some factor
variables.
One instance is
> train$sex[2]
[1] Male
Levels: Female Male
So the value is Male but a comparison like "Male" == train$sex[2]
will always return FALSE because of the level information included.
Another problem this creates is
> factor(train$workclass[25:30])
[1] Private Local-gov Private NA Private
[6] Private
Levels: Local-gov NA Private
> is.na(train$workclass[25:30])
[1] FALSE FALSE FALSE FALSE FALSE FALSE
Which they are all false because of the levels data in the comparison. This
would seem to be bug because I...