This repository contains the work AcES2Predict team submitted to WiDS Datathon 2020 https://www.kaggle.com/c/widsdatathon2020. We used LightGBM and Catboost for this challenge. \
Our best submission's AUC score on the test data: 0.911.
- Sedigheh Eslami (sedigheh.eslami@data4life.care)
- Evegenia Anikia (evgeniya.anikina@data4life.care)
- Ariane Morassi Sasso (ariane.morassi-sasso@hpi.de)