Oğuz Koç

Graduate School of Applied Mathematics
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 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...
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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