I created a decision tree in rattle for the in-built wine dataset.
The output is shown below
Summary of the Decision Tree model for Classification (built using 'rpart'):
library(rpart)
library(rattle)
n= 124
node), split, n, loss, yval, (yprob)
* denotes terminal node
1) root 124 73 2 (0.30645161 0.41129032 0.28225806)
2) Proline>=953.5 33 0 1 (1.00000000 0.00000000 0.00000000) *
3) Proline< 953.5 91 40 2 (0.05494505 0.56043956 0.38461538)
6) Intensity< 3.825 44 0 2 (0.00000000 1.00000000 0.00000000) *
7) Intensity>=3.825 47 12 3 (0.10638298 0.14893617 0.74468085)
14) Flavanoids>=1.385 13 6 2 (0.38461538 0.53846154 0.07692308) *
15) Flavanoids< 1.385 34 0 3 (0.00000000 0.00000000 1.00000000) *
Classification tree:
rpart(formula = Class ~ ., data = crs$dataset[crs$train, c(crs$input,
crs$target)], method = "class", parms = list(split = "information"),
control = rpart.control(usesurrogate = 0, maxsurrogate = 0))
Variables actually used in tree construction:
[1] Flavanoids Intensity Proline
Root node error: 73/124 = 0.58871
n= 124
CP nsplit rel error xerror xstd
1 0.452055 0 1.000000 1.00000 0.075061
2 0.383562 1 0.547945 0.52055 0.070325
3 0.082192 2 0.164384 0.26027 0.054946
4 0.010000 3 0.082192 0.21918 0.051137
Time taken: 0.02 secs
The rules are listed below
Tree as rules:
Rule number: 2 [Class=1 cover=33 (27%) prob=1.00]
Proline>=953.5
Rule number: 14 [Class=2 cover=13 (10%) prob=0.38]
Proline< 953.5
Intensity>=3.825
Flavanoids>=1.385
Rule number: 15 [Class=3 cover=34 (27%) prob=0.00]
Proline< 953.5
Intensity>=3.825
Flavanoids< 1.385
Rule number: 6 [Class=2 cover=44 (35%) prob=0.00]
Proline< 953.5
Intensity< 3.825
[1] 2 6 1 5 3 7 4
The output plot which I got is shown below
When I try to plot the tree, it is showing only the outline of the nodes. Nothing else is listed.
I tried with different datasets. All are showing the same result.
All plots other than decision tree are working perfectly fine.
How to resolve this? Is this related to any package problem?