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Conceptual Approach to Predict Loan Defaults Using Decision Trees

Conceptual Approach to Predict Loan Defaults Using Decision Trees

Syed Muzamil Basha, Dharmendra Singh Rajput, N. Ch. S. N. Iyengar
Copyright: © 2019 |Pages: 14
ISBN13: 9781522549994|ISBN10: 1522549994|ISBN13 Softcover: 9781522587859|EISBN13: 9781522550006
DOI: 10.4018/978-1-5225-4999-4.ch009
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MLA

Basha, Syed Muzamil, et al. "Conceptual Approach to Predict Loan Defaults Using Decision Trees." Sentiment Analysis and Knowledge Discovery in Contemporary Business, edited by Dharmendra Singh Rajput, et al., IGI Global, 2019, pp. 148-161. https://doi.org/10.4018/978-1-5225-4999-4.ch009

APA

Basha, S. M., Rajput, D. S., & Iyengar, N. C. (2019). Conceptual Approach to Predict Loan Defaults Using Decision Trees. In D. Rajput, R. Thakur, & S. Basha (Eds.), Sentiment Analysis and Knowledge Discovery in Contemporary Business (pp. 148-161). IGI Global. https://doi.org/10.4018/978-1-5225-4999-4.ch009

Chicago

Basha, Syed Muzamil, Dharmendra Singh Rajput, and N. Ch. S. N. Iyengar. "Conceptual Approach to Predict Loan Defaults Using Decision Trees." In Sentiment Analysis and Knowledge Discovery in Contemporary Business, edited by Dharmendra Singh Rajput, Ramjeevan Singh Thakur, and S. Muzamil Basha, 148-161. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-4999-4.ch009

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Abstract

In this chapter, the authors show how to build a decision tree from given real-time data. They interpret the output of decision tree by learning decision tree classifier using really recursive greedy algorithm. Feature selection is made based on classification error using the algorithm called feature split selection algorithm (FSSA), with all different possible stopping conditions for splitting. The authors perform prediction with decision trees using decision tree prediction algorithm (DTPA), followed by multiclass predictions and their probabilities. Finally, they perform splitting procedure on real continuous value input using threshold split selection algorithm (TSSA).

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