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Review Papers | Computer and Mathematical Sciences | Nigeria | Volume 10 Issue 11, November 2021

In-Depth Study of Decision Tree Model

Anas Muhammad Sani | Ahmad Salihu Ben-Musa | Muhammad Haladu

Abstract: Machine Learning is the science and technology of teaching machines how to learn by them through training and testing and later determines the result for every condition without being programmed. Machine learning achieves this using different machine learning technique or Algorithms. Decision tree is one of the best classification algorithms that work both on categorical and continuous input and output variables. Different types of decision tree Algorithm exist with different accuracy and cost effectiveness. It is used by different professional in various fields. It can be used to classify emails weather it a spam or not, to find data as a replacement of statistical procedure, to extract text, to find missing data in a class and to improve search engines. Decision tree can as well be used in medical field for disease diagnosis. These documents described different types of Decision tree, how the algorithm work as well as its application. Their advantages and disadvantages with respect to other machine learning algorithms have also been discussed.

Keywords: ID3, C4.5, IDA, CART, C5.0, MARS

Edition: Volume 10 Issue 11, November 2021,

Pages: 705 - 709