# 9.2 基于树的方法(CART)¶

## 分类树¶

weiya注

library(rpart)

library(rpart.plot)

fit <- rpart(Kyphosis ~ Age + Number + Start, data = kyphosis)

rpart.plot(fit)

## 垃圾邮件的例子（继续）¶

1. Breiman, L., Friedman, J., Olshen, R. and Stone, C. (1984). Classification and Regression Trees, Wadsworth, New York.

2. Ripley, B. D. (1996). Pattern Recognition and Neural Networks, Cambridge University Press.

3. Fisher, W. (1958). On grouping for maximum homogeniety, Journal of the American Statistical Association 53(284): 789–798.

4. Loh, W. and Vanichsetakul, N. (1988). Tree structured classification via generalized discriminant analysis, Journal of the American Statistical Association 83: 715–728.

5. Quinlan, R. (1993). C4.5: Programs for Machine Learning, Morgan Kaufmann, San Mateo.

6. Hanley, J. and McNeil, B. (1982). The meaning and use of the area under a receiver operating characteristic (roc) curve, Radiology 143: 29–36.

7. Cook, N. (2007). Use and misuse of the receiver operating characteristic curve in risk prediction, Circulation 116(6): 928–35.