Description Usage Format References Examples
Partitions play a very important aspect of CART methodology. This data set has been cooked to translate the intuitions into partitions!
1 |
A data frame with 54 observations on the following 3 variables.
X1
Input variable 1
X2
Input variable 2
Y
category of the output
Berk, R. A. (2008). Statistical Learning from a Regression Perspective. Springer.
1 2 3 4 5 6 7 8 9 10 11 12 13 | data(CART_Dummy)
CART_Dummy$Y = as.factor(CART_Dummy$Y)
par(mfrow=c(1,2))
plot(c(0,12),c(0,10),type="n",xlab="X1",ylab="X2")
points(CART_Dummy$X1[CART_Dummy$Y==0],CART_Dummy$X2[CART_Dummy$Y==0],pch=15,col="red")
points(CART_Dummy$X1[CART_Dummy$Y==1],CART_Dummy$X2[CART_Dummy$Y==1],pch=19,col="green")
title(main="A Difficult Classification Problem")
plot(c(0,12),c(0,10),type="n",xlab="X1",ylab="X2")
points(CART_Dummy$X1[CART_Dummy$Y==0],CART_Dummy$X2[CART_Dummy$Y==0],pch=15,col="red")
points(CART_Dummy$X1[CART_Dummy$Y==1],CART_Dummy$X2[CART_Dummy$Y==1],pch=19,col="green")
segments(x0=c(0,0,6,6),y0=c(3.75,6.25,2.25,5),x1=c(6,6,12,12),y1=c(3.75,6.25,2.25,5),lwd=2)
abline(v=6,lwd=2)
title(main="Looks a Solvable Problem Under Partitions")
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