Desktop Survival Guide
by Graham Williams

Resources and Further Reading

The traditional decision tree algorithms suffer from overfitting and a bias toward selecting variables with many possible splits. The algorithms do not use any statistical significance concepts and thus, as noted by mingers:mlj.3.4.1989, cannot distinguish between significant and insignificant improvements in the information measure.

Conditional Trees (See Chapter [*]) take into account distributional properties.

Can library(rgl) be used to visualise a decision tree?

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