Automatic Credit Approval using Classification Method
نویسنده
چکیده
This research paper aims to evaluate the performance and accuracy of classification models based on decision trees(C5.0 & CART), Support Vector Machine(SVM) and Logistic Regression with a dataset. Three methods to detect fraud are presented. Automatic credit approval is the most significant process in the banking sector and financial institutions. It prevents the fraud which is going to happen. So this paper proposes a good solution to the credit approval using the above methods. Index Terms Classification, Credit approval, Data Mining, Fraud, Logistic Regression, SVM —————————— ——————————
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