BT4012 Fraud Analytics Final Project Report
Prepared for: Dr Yiliang Zhao, Dr Rui Zhao
Prepared by: Project Group 22
Team Members | Matriculation No. |
---|---|
Lim Weizhe Jeff | A0238997B |
Li Yinkang | A0234384A |
Lee De Kai | A0233481J |
Tan Wei Ming | A0234971Y |
Zen Bin Xing Yiang | A0234171N |
Please ensure that "Base.csv" is in the same directory as "EDA + Preprocessing.ipynb" for notebook to run properly. It can be downloaded at https://www.kaggle.com/datasets/sgpjesus/bank-account-fraud-dataset-neurips-2022 or you may use the source code files that we uploaded.
Also, please ensure that the following libraries are installed: pandas
numpy
matplotlib
seaborn
sklearn.decomposition
sklearn.model_selection
sklearn.linear_model
sklearn.metrics
sklearn.ensemble
xgboost
torch
torch.nn
torch.optim
torch.utils.data
optima
lime
lime.lime_tabular