Handwritten digits recognition with decision tree classification: a machine learning approach

Volume: 9, Issue: 5, Pages: 4446 - 4446
Published: Oct 1, 2019
Abstract
Handwritten digits recognition is an area of machine learning, in which a machine is trained to identify handwritten digits. One method of achieving this is with decision tree classification model. A decision tree classification is a machine learning approach that uses the predefined labels from the past known sets to determine or predict the classes of the future data sets where the class labels are unknown. In this paper we have used the...
Paper Details
Title
Handwritten digits recognition with decision tree classification: a machine learning approach
Published Date
Oct 1, 2019
Volume
9
Issue
5
Pages
4446 - 4446
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