Predict the probability of the basketball matches with Deep Neural Networks 2017 Seedcup Preliminary Contest

1.train: python train.py --model dnn --team_data_type reduce --cuda 1 --epoch 100 --batch-size 16
2.test: python test.py --cuda 1 --model 'dnn' --epoch 200 --team_data_type 'reduce' --model_param 'train_dnn_30.pkl'

1.train: python train.py --model dnn --team_data_type reduce --cuda 0 --epoch 100 --batch-size 16
2.test: python test.py --cuda 0 --model 'dnn' --epoch 200 --team_data_type 'reduce' --model_param 'train_dnn_30.pkl'

• Pytorch
• XGBoost(if you do not use train_xgboost.py, you can delete the file in project)
• Scikit-Learn

• yueruchen

• VicChan

• Xiangru Tang

This Project is Under the MIT Licence