Resolution:
## Figure 1.
Random Forests Algorithm. The RF algorithm begins by selecting a bootstrap sample of the data (1). A random
subset of the variables is selected (2) and searched over to find the optimal split
(3). This is repeated until an unpruned CART tree is formed (4). The data not part
of the bootstrap sample is run down the tree to derive the error rate and measures
of VI (5). This is repeated until a full forest is grown (6).
Goldstein |