小组成员： Yi Zou && Qiurui Huang from Fudan University
The project is developed on the Intel OneAPI platform, utilizing Intel's modin module, the Intel® Extension for Scikit-learn, and the Intel-optimized XGBoost tool. The investigation focuses on the method accuracy in predicting credit card fraud and assesses the acceleration effects of the Intel tools.
The procedure of running this project
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First, you can clone this project to your local computer by the command:
git clone https://github.com/zouyi73/Fraud-Detection.git -
And then, you have to login/register(if you don't have an account) on https://devcloud.intel.com/oneapi/get_started/ , after that please launch JupyterLab
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Upload the project you have cloned just now, and run these commands to install relevant environments:
pip install "modin[dask]" # Install Modin dependencies and Dask. export MODIN_ENGINE=dask # Modin will use Dask pip install scikit-learn-intelex pip install seaborn pip install xgboost –c intel
if you use conda to manage your package, please change pip as conda