LGFeb 14, 2018
Attack RMSE Leaderboard: An Introduction and Case Study
arXiv:1802.04947v1
Originality Synthesis-oriented
AI Analysis
This is an incremental contribution for researchers or practitioners focused on leaderboard optimization in machine learning competitions.
The paper tackles the problem of climbing RMSE-based leaderboards without using training data, presenting several tricks to achieve this.
In this manuscript, we briefly introduce several tricks to climb the leaderboards which use RMSE for evaluation without exploiting any training data.