Abstract: Decision trees are one of the simple and common supervised algorithms for both regression and classification purposes. There are a few number of algorithms for developing decision trees. In this chapter, we will focus on classification applications of decision trees using one of the simpler and more common of these algorithms, iterative dichotomiser 3. We also compare the performance of the decision tree in terms of accuracy with that of the multinomial logistic regression from previous chapters.
Publication Year: 2022
Publication Date: 2022-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
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