Classification and regression trees

Decision trees is one of the classification method – structures consisting nodes, connected with branches. Unlike the natural way, root appears on the top of the structure and branches go down ending with leaves or leading to another node.

Main goal of the algorithm is to select attributes (both whichever and sequence matter) to obtain highest confidence level. Decision trees fall under supervised learning category.

It is possible to employ classification trees, when:

  • training set with defined target variable exists
  • training set provides algorithm with representative group of records (enough examples)
  • discrete target variables

Bibl. [Daniel Larose „Odkrywanie wiedzy z danych” 2006 PWN, 109, 111]

November 23rd, 2016

Posted In: decision trees, web content, web mining, YouTube

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