Predicting class membership on synthetic 2D data
Our first example showcasing tree-based methods in R will operate on a synthetic data set that we have created. The data set can be generated using commands in the companion R file for this chapter, available from the publisher. The data consists of 287 observations of two input features,
The output variable is a categorical variable with three possible classes:
c. If we follow the commands in the code file, we will end up with a data frame in R,
> head(mcdf, n = 5) x1 x2 class 1 18.58213 12.03106 a 2 22.09922 12.36358 a 3 11.78412 12.75122 a 4 23.41888 13.89088 a 5 16.37667 10.32308 a
This problem is actually very simple because on the one hand, we have a very small data ...