请教大家rpart函数的输出元素都是什么意思呢?非常感谢哦
【原始数据】
Play Outlook TemperatureHumidity Wind
1 yes rainy cool normal FALSE
2 no rainy cool normal TRUE
3 yes overcast hot high FALSE
4 no sunny mild high FALSE
5 yes rainy cool normal FALSE
6 yes sunny cool normal FALSE
7 yes rainy cool normal FALSE
8 yes sunny hot normal FALSE
9 yes overcast mild high TRUE
10 no sunny mild high TRUE
【命令】
fit <- rpart(Play ~ Outlook + Temperature + Humidity + Wind, method="class", data=play_decision,
control=rpart.control(minsplit=1),parms=list(split='information'))
summary(fit)
【输出】-----想请教大家下面这些标记的元素都代表什么意思呢?
n=10
CP nsplit rel error xerror xstd
1 0.3333333 0 1 1 0.4830459
2 0.0100000 3 0 1 0.4830459
Node number 1: 10 observations, complexity param=0.3333333
predicted class=yes expectedloss=0.3
class counts: 3 7
probabilities: 0.300 0.700
left son=2 (3 obs) right son=3 (7 obs)
Primary splits:
Temperature splitsas RRL, improve=1.3282860, (0 missing)
Wind < 0.5 to the right,improve=1.3282860, (0 missing)
Outlook splits as RLL, improve=0.8161371, (0 missing)
Humidity splits as LR, improve=0.6326870, (0 missing)
Surrogate splits:
Humidity splits as LR, agree=0.9, adj=0.667, (0 split)
Wind < 0.5 to the right,agree=0.8, adj=0.333, (0 split)
Node number 2: 3 observations, complexity param=0.3333333
predicted class=no expectedloss=0.3333333
class counts: 2 1
probabilities: 0.667 0.333
left son=4 (2 obs) right son=5 (1 obs)
Primary splits:
Outlook splits as R-L, improve=1.9095430, (0 missing)
Wind < 0.5 to the left, improve=0.5232481, (0 missing)
Node number 3: 7 observations, complexity param=0.3333333
predicted class=yes expectedloss=0.1428571
class counts: 1 6
probabilities: 0.143 0.857
left son=6 (1 obs) right son=7 (6 obs)
Primary splits:
Wind < 0.5 to the right,improve=2.8708140, (0 missing)
Outlook splits as RLR, improve=0.6214736, (0 missing)
Temperature splits as LR-, improve=0.3688021, (0 missing)
Humidity splits as RL, improve=0.1674470, (0 missing)
Node number 4: 2 observations
predicted class=no expectedloss=0
class counts: 2 0
probabilities: 1.000 0.000
Node number 5: 1 observations
predicted class=yes expectedloss=0
class counts: 0 1
probabilities: 0.000 1.000
Node number 6: 1 observations
predicted class=no expectedloss=0
class counts: 1 0
probabilities: 1.000 0.000
Node number 7: 6 observations
predicted class=yes expectedloss=0
class counts: 0 6
probabilities: 0.000 1.000
【结果图】