Based on the integrity of the appropriate data partitions, decision tree attribute selection methods rank nominal attributes as either high quality (good) or low quality (poor). A partition contains just the tuples when all attributes have the same value. Talk about the procedures that are utilized to choose attributes based on numerical values.

Based on the integrity of the appropriate data partitions, decision tree attribute selection methods rank nominal attributes as either high quality (good) or low quality (poor). A partition contains just the tuples when all attributes have the same value. Talk about the procedures that are utilized to choose attributes based on numerical values.

Database Systems: Design, Implementation, & Management

12th Edition

ISBN:9781305627482

Author:Carlos Coronel, Steven Morris

Publisher:Carlos Coronel, Steven Morris

Chapter2: Data Models

Section: Chapter Questions

Problem 21RQ

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The purity of the relevant partitions of the data for a certain nominal attribute is one of the factors that decision tree attribute selection methods use to assess whether or not that nominal attribute is good. A partition will only include tuples if they all have the same value for a certain attribute. Describe the procedures that were followed in order to choose features based on their numerical values.
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