Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
Parameters
B
Number of boosting iterations.
(Default = 10)
default: 10
D
Save the instance data with the model
E
Expand nodes: -3(all), -2(weight), -1(z_pure), >=0 seed for random walk
(Default = -3)