fnn.py uses feedforward neural network to fit the data.
lgbm.py uses the Lightgbm moedel to fit the data.
linear.py uses the linear moedel to fit the data.
Rrf.py uses the randomforest moedel to fit the data.
XGBoost.py uses the xgboost moedel to fit the data.
every .py file can simply run it!
result8.csv is my highest score file generated by XGboost.