Oğuz Koç

E-mail

oguzkoc@metu.edu.tr

Department

Graduate School of Applied Mathematics

ORCID

0000-0001-8273-8743

Insurance Fraud Detection via Clustering-Based Fuzzy Classification On Noisy Unbalanced Datasets Koç, Oğuz; Başer, Furkan; Kestel, Sevtap Ayşe (2024-09-09) One of the most important challenges in overcoming the unsystematic risks in the insurance industry is fraud detection as the expenses associated with it can be disastrous, and can increase loading on reserves and premiums...
The Impact of Feature Selection and Transformation on Machine Learning Methods in Determining the Credit Scoring Koç, Oğuz; Uğur, Ömür; Kestel, Sevtap Ayşe (2023-03-01) Banks utilize credit scoring as an important indicator of financial strength and eligibility for credit. Scoring models aim to assign statistical odds or probabilities for predicting if there is a risk of nonpayment in r...
Credit Risk Evaluation Using Clustering Based Fuzzy Classification Method Koç, Oğuz; Başer, Furkan; Kestel, Sevtap Ayşe (2023-03-01) Credit scoring is a crucial indicator for banks to determine the financial position and the eligibility of aclient for credit. In order to assign statistical odds or probabilities to predict the risk of nonpayment inrelati...
The prediction power of machine learning on estimating the sepsis mortality in the intensive care unit Selcuk, Mehtap; Koç, Oğuz; Kestel, Sevtap Ayşe (2022-01-01) Background: The prediction of sepsis mortality of intensive care unit (ICU) observations using machine learning (ML) methods is hypothesized to yield better or as good as performance compared to the prognostic scores. This...

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