Learn about classification tree in Python with data from the Adult Census Income dataset (1996) /

This dataset is designed for teaching the classification tree in machine learning. The dataset is a subset of data derived from the 1996 Adult Census Income dataset, and the example demonstrates how to use the classification tree to predict annual income class with individual features such as demogr...

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Bibliographic Details
Main Author:	Shi, Feng, active 2019 (Author)
Format:	eBook
Language:	English
Published:	London : SAGE Publications, Ltd., 2019.
Subjects:	Machine learning. Decision trees. Income. Python (Computer program language) Decision Trees Income Machine Learning Apprentissage automatique. Arbres de décision. Revenu. Python (Langage de programmation) Decision trees Machine learning
Online Access:	Connect to the full text of this electronic book

Description
Summary:	This dataset is designed for teaching the classification tree in machine learning. The dataset is a subset of data derived from the 1996 Adult Census Income dataset, and the example demonstrates how to use the classification tree to predict annual income class with individual features such as demographics, working status, marital status, etc. The dataset file is accompanied by a Teaching Guide, a Student Guide, and a How-to Guide for Python.
Physical Description:	1 online resource : illustrations
ISBN:	9781526499356 1526499355