Kaggle Personalized Medicine: Redefining Cancer Treatment
| Folder | Content |
|---|---|
| xgb | data engineering + xgboost model |
| xgb_res | xgboost result / submission (kaggle) |
| lstm | LSTM model |
| lstm_res | LSTM result ( loss / accuracy ) + saved model + submission |
| xgb+lstm | add LSTM intermediate outputs as features; run xgboost model again |
├── lstm
│ ├── lstm.py
│ ├── lstm_test.py
│ └── README.md
├── lstm_res
│ ├── accuracy.png
│ ├── history_all
│ ├── history_loss_train
│ ├── history_loss_val
│ ├── inter_output_allTest
│ ├── inter_output_allTrain
│ ├── loss.png
│ ├── lstm_model.h5
│ ├── model_output_allTest
│ ├── README.md
│ ├── submission.csv
│ └── submission_raw.csv
├── README.md
├── xgb
│ ├── feature.py
│ ├── kaggle_stage2_submission.py
│ ├── README.md
│ ├── xgb_param.py
│ └── xgb.py
├── xgb+lstm
│ ├── feature2.py
│ ├── loss.png
│ ├── submission_xgb.csv
│ └── validLoss
└── xgb_res
├── submission.csv
├── validLoss
└── valid_loss.png