Improve Your Model Performance using Cross Validation (in Python / R)
This article was originally published on November 18, 2015 and updated on April 30, 2018. One of the most interesting and challenging things about hackathons is getting a high score on both public and private leaderboards. I have closely monitored the series of Data Hackathons and found an interesting trend. This trend is based on participant rankings on the public and private leaderboards. One thing that stood out was that participants who rank higher on the public leaderboard lose their position after their ranks gets validated on the private leaderboard.
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