This repository contains the work of the team AcES2Predict submitted to the WiDS Datathon 2020.
We used LightGBM and Catboost for this challenge.
Our best submission had an AUC score on the test data of: 0.911.
Please check out our one page paper under the doc folder: link
- Sedigheh Eslami (sedigheh.eslami@data4life.care)
- Evegenia Anikia (evgeniya.anikina@data4life.care)
- Ariane Morassi Sasso (ariane.morassi-sasso@hpi.de)