The Impact of Feature Selection and Transformation on Machine Learning Methods in Determining the Credit Scoring

Autor: Koc, Oguz, Ugur, Omur, Kestel, A. Sevtap

Publikováno v: Oguz Koc. Comparison of Machine Learning Algorithms on Consumer Credit Classification. M.Sc. Thesis, Middle East Technical University, 2019

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 relation to many other factors

Externí odkaz: http://arxiv.org/abs/2303.05427

Credit risk evaluation using clustering based fuzzy classification method

Autor: Baser, Furkan, Koc, Oguz, Selcuk-Kestel, A. Sevtap

Publikováno v: In Expert Systems With Applications 1 August 2023 223

The prediction power of machine learning on estimating the sepsis mortality in the intensive care unit

Autor: Selcuk, Mehtap, Koc, Oguz, Kestel, A. Sevtap

Publikováno v: In Informatics in Medicine Unlocked 2022 28

Ergenler İçin Sosyal Medya Bağımlılığı Ölçeğinin Cinsiyet ve Okul Kademesi Değişkenleri Açısından Ölçme Değişmezliğinin İncelenmesi. (Turkish)

Autor: Koç, Oğuz, Boduroğlu, Erdem, Ekinay, Hüseyin

Publikováno v: E-International Journal of Educational Research; Jun2023, Vol. 14 Issue 3, p105-119, 15p

Abdominal Wall Endometrioma; A 10-Year Experience and Brief Review of the Literature

Autor: Bektaş, Hasan, Bilsel, Yılmaz, Sarı, Yavuz Selim, Ersöz, Feyzullah, Koç, Oğuz, Deniz, Mehdi, Boran, Birtan, Huq, Gülben Erdem

Publikováno v: In Journal of Surgical Research 2010 164(1):e77-e81