Created | Fri, 19 Jan 2018 16:58:55 +0000 |
Published | Fri, 19 Jan 2018 16:59:23 +0000 |
Algorithm | BigML Memory Tree |
Split criterion | |
Support threshold | |
Depth threshold | 512 |
Node threshold | 512 |
Missing splits | No |
Statistical pruning | Smart pruning |
This is an implementation of Leo Breiman's ringnorm example[1]. It is a 20 dimensional, 2 class classification example. Each class is drawn from a multivariate normal distribution.
Class 1 has mean zero and covariance 4 times the identity.
Class 2 has mean (a,a,..a) and unit covariance. a = 2/sqrt(20).
Breiman reports the theoretical expected misclassification rate as 1.3%. He used 300 training examples with CART and found an error of 21.4%.
Source:
Ringnorm dataset