Decision Tree Disadvantages - Aster Analytics

Teradata AsterĀ® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Language
English (United States)
Last Update
2018-04-17
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uce1497542673292.ditamap
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dita:id
B700-1022
lifecycle
previous
Product Category
Software
  • Decision tree training is a highly unstable procedure.

    Small differences in the training set can cause very different decision tree structures, and often very different outcomes.

  • Because they are piecewise-constant approximations, observations on regional boundaries are prone to high error rates.