BT4222 Project
Members: Chantelle Shum Wan Qing Kim Sangwoo Megumi Low Jie Hui Tan Pei Sze Joel Tan Jun Hao
Dataset: https://www.kaggle.com/datasets/rikdifos/credit-card-approval-prediction ML models used: SVM, Decision Tree, RFC, Naive Bayes, Neural Network
Based on ROC-AUC criteria, we found that RFC was the best model and was able to predit the test data well.