Use of AdaBoost technique in regression based models using artificial intelligence

Authors

DOI:

https://doi.org/10.15584/di.2019.14.13

Keywords:

AdaBoost, artificial intelligence

Abstract

This article describes the use of artificial intelligence in regression calculations. Models built in a traditional manner based on classical assumptions provide the most precise information possi-ble. The model building process itself is based on the initial selection of variables used to create it. Skillful selection of variables has a significant impact on the obtained parameters. Using the solu-tion presented in this work, we get a model with a pre-selected optimal training set. The following chapters discuss the essence of predictive analytics, the machine learning pro-cess, the construction of a decision tree, an example of regression using AdaBoost.

Published

2019-12-15

How to Cite

Wołoszyn, J. (2019). Use of AdaBoost technique in regression based models using artificial intelligence. DIDACTICS OF INFORMATION TECHNOLOGY, 14, 162–169. https://doi.org/10.15584/di.2019.14.13

Issue

Section

ICT TOOLS IN PRACTICE