Use Decision Trees to Explore and Model Your Data
The Partition platform recursively partitions data according to a relationship between the X and Y values, creating a tree of partitions. It finds a set of cuts or groupings of X values that best predict a Y value. It does this by exhaustively searching all possible cuts or groupings. These splits (or partitions) of the data are done recursively forming a tree of decision rules until the desired fit is reached. This is a powerful platform, because it chooses the optimum splits from a large number of possible splits.
The platform offers three methods for growing the final predictive tree:
• Decision Tree
• Bootstrap Forest
• Boosted Tree
The Bootstrap Forest and Boosted ...