WiDS Datathon 2020 Second place solution

The code, provided here, allows to generate a final submission, that scored 0.91378 on the public leaderboard and 0.91485 on the private.

• Python 3.7
• Install Kinoa from https://github.com/oleg-panichev/kinoa or just comment all related code

Detailed description is posted in Kaggle discussions.

Clone this repository:

git clone https://github.com/oleg-panichev/WiDS-Datathon-2020-Second-place-solution.git

Put the data in the 'input' directory and run the code:

cd WiDS-Datathon-2020-Second-place-solution/src
nohup python -u ensemble.py > ensemble.log &

You may find the code for each model within ensemble along with experiments log in the corresponding directories within _kinoa_ directory.

• Iryna Ivanenko ([email protected])
• Oleg Panichev ([email protected])