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Credit Card Fraud Detection Using Logistic Regression and Machine Learning Algorithms
- Cheng, Haoyi
- Advisor(s): Paik Schoenberg, Frederic R
Abstract
This thesis is focused on detecting the probability of credit card fraud occurrence according to seven relative independent variables by using logistic regression, support vector machine, decision tree, and k-NN models. The dataset provided by Dhanush Narayanan R from Kaggle contains one million of data [1]. The final goal is to compare these four models and find the most accurate model.
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