My model for the See Click Predict Fix Kaggle competition. Read the postmortem for a more detailed explanation of how it works.
- Install dependencies
pip install -r requirements.txt
- Put data in data/ directory
- Run model
python estimator.py
- Upload submission.txt
- 147/533 on the public leaderboard
- 151/533 on the private leaderboard
Puts me in the top 70%, which is not that great, but on the bright side, my public and private leaderboard scores being very close means I didn't horribly overfit during the competition.