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Airline Choice: A Comparison of Classifiers in Traditional Analysis vs Decision Trees

Airline Choice: A Comparison of Classifiers in Traditional Analysis vs Decision Trees

Archana Shrivastava, P. James Daniel Paul, J.K. Sharma
Copyright: © 2020 |Volume: 7 |Issue: 2 |Pages: 20
ISSN: 2334-4547|EISSN: 2334-4555|EISBN13: 9781799808145|DOI: 10.4018/IJBAN.2020040103
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MLA

Shrivastava, Archana, et al. "Airline Choice: A Comparison of Classifiers in Traditional Analysis vs Decision Trees." IJBAN vol.7, no.2 2020: pp.34-53. http://doi.org/10.4018/IJBAN.2020040103

APA

Shrivastava, A., Paul, P. J., & Sharma, J. (2020). Airline Choice: A Comparison of Classifiers in Traditional Analysis vs Decision Trees. International Journal of Business Analytics (IJBAN), 7(2), 34-53. http://doi.org/10.4018/IJBAN.2020040103

Chicago

Shrivastava, Archana, P. James Daniel Paul, and J.K. Sharma. "Airline Choice: A Comparison of Classifiers in Traditional Analysis vs Decision Trees," International Journal of Business Analytics (IJBAN) 7, no.2: 34-53. http://doi.org/10.4018/IJBAN.2020040103

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Abstract

Widespread use of e-commerce in the airline industry is generating data at unprecedented scale, thus rendering it amenable to decision analysis. Classification accuracy is one of the key factors in forecasting and in the decision sciences. The traditional classification analysis was carried out by several methods such as ANOVA, Logit, Probit. However, for decision analysis algorithms and decision trees have emerged for classification analysis. The objective of the article is to analyze the airline choice data using the traditional ANOVA and compare them with the decision trees and different algorithms.

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