[R] Fw: rpart
carol white
wht_crl at yahoo.com
Tue Jan 29 03:06:35 CET 2013
Should I understand that this message was received?
Thanks
----- Forwarded Message -----
From: carol white <wht_crl at yahoo.com>
To: "r-help at stat.math.ethz.ch" <r-help at stat.math.ethz.ch>
Sent: Sunday, January 27, 2013 8:31 PM
Subject: rpart
Hi,
When I look at the summary of an rpart object run on my data, I get 7 nodes but when I plot the rpart object, I get only 3 nodes. Should the number of nodes not match in the results of the 2 functions (summary and plot) or it is not always the same?
Look forward to your reply,
Carol
--------------------------------------------
summary(rpart.res)
Call:
rpart(formula = mydata$class ~ ., data = as.data.frame(t(mydata)))
n= 62
CP nsplit rel error xerror xstd
1 0.6363636 0 1.0000000 1.0000000 0.1712469
2 0.1363636 1 0.3636364 0.6818182 0.1532767
3 0.0100000 2 0.2272727 0.7727273 0.1596659
Variable importance
Hsa.627 Hsa.692 Hsa.692.2 Hsa.3306 Hsa.601 Hsa.831 Hsa.1832 Hsa.2456
19
13 11 10 10 8 6 6
Hsa.8147 Hsa.1131 Hsa.692.1
6 5 5
Node number 1: 62 observations, complexity param=0.6363636
predicted class=t expected loss=0.3548387 P(node) =1
class counts: 22 40
probabilities: 0.355 0.645
left son=2 (14 obs) right son=3 (48 obs)
Primary splits:
Hsa.627 < 59.83 to the left, improve=15.05376, (0
missing)
Hsa.8147 < 1696.23 to the right, improve=14.46790, (0 missing)
Hsa.37937 < 379.39 to the right, improve=13.75358, (0 missing)
Hsa.692.2 < 842.305 to the right, improve=12.38710, (0 missing)
Hsa.1832 < 735.805 to the right, improve=11.90495, (0 missing)
Surrogate splits:
Hsa.692.2 < 1086.655 to the right, agree=0.903, adj=0.571, (0 split)
Hsa.3306 < 170.515 to the left, agree=0.887, adj=0.500, (0 split)
Hsa.601 < 88.065 to the left, agree=0.887, adj=0.500, (0 split)
Hsa.692 < 1251.99 to the right, agree=0.871, adj=0.429, (0
split)
Hsa.831 < 281.54 to the left, agree=0.871, adj=0.429, (0 split)
Node number 2: 14 observations
predicted class=n expected loss=0 P(node) =0.2258065
class counts: 14 0
probabilities: 1.000 0.000
Node number 3: 48 observations, complexity param=0.1363636
predicted class=t expected loss=0.1666667 P(node) =0.7741935
class counts: 8 40
probabilities: 0.167 0.833
left son=6 (7 obs) right son=7 (41 obs)
Primary splits:
Hsa.8147 < 1722.605 to the right, improve=4.915215, (0 missing)
Hsa.1832 < 681.145 to the right, improve=4.915215, (0
missing)
Hsa.1410 < 49.985 to the left, improve=4.915215, (0 missing)
Hsa.2456 < 186.195 to the right, improve=4.915215, (0 missing)
Hsa.11616 < 969.085 to the right, improve=4.915215, (0 missing)
Surrogate splits:
Hsa.1832 < 681.145 to the right, agree=1.000, adj=1.000, (0 split)
Hsa.2456 < 186.195 to the right, agree=1.000, adj=1.000, (0 split)
Hsa.692 < 1048.375 to the right, agree=0.979, adj=0.857, (0 split)
Hsa.692.1 < 1136.75 to the right, agree=0.979, adj=0.857, (0 split)
Hsa.1131 < 1679.54 to the right, agree=0.979, adj=0.857, (0 split)
Node
number 6: 7 observations
predicted class=n expected loss=0.2857143 P(node) =0.1129032
class counts: 5 2
probabilities: 0.714 0.286
Node number 7: 41 observations
predicted class=t expected loss=0.07317073 P(node) =0.6612903
class counts: 3 38
probabilities: 0.073 0.927
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