---
title: Model Comparison
url: https://www.ml-quant.com/papers/repec/ora-journl-v-2-y-2023-i-2-p-67-75/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:ora:journl:v:2:y:2023:i:2:p:67-75
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fanale.steconomiceuoradea.ro%2Fen%2Fwp-content%2Fuploads%2F2024%2F03%2FVolume-2_AUOES_december-2023-70-78.pdf%3Bh%3Drepec%3Aora%3Ajournl%3Av%3A2%3Ay%3A2023%3Ai%3A2%3Ap%3A67-75
featured: 2024-12-04
citations: unknown
topic: Risk, Credit & Banking
---


# Model Comparison

The study finds logistic regression more efficient than decision tree models in identifying defaulted loans in Central Credit Information System data.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fanale.steconomiceuoradea.ro%2Fen%2Fwp-content%2Fuploads%2F2024%2F03%2FVolume-2_AUOES_december-2023-70-78.pdf%3Bh%3Drepec%3Aora%3Ajournl%3Av%3A2%3Ay%3A2023%3Ai%3A2%3Ap%3A67-75
- Identifier: RePEc:ora:journl:v:2:y:2023:i:2:p:67-75
- Released: 2023-11-27
- First featured: Quant Letter No. 77 (2024-12-04): https://www.ml-quant.com/issues/2024-12-04/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Risk, Credit & Banking

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