Toward a Better Understanding of Leaderboard
نویسنده
چکیده
The leaderboard in machine learning competitions is a tool to show the performance of various participants and to compare them. However, the leaderboard quickly becomes no longer accurate, due to hack or overfitting. This article gives two advices to avoid this. It also points out that the Ladder leaderboard successfully prevents this with Õ( −3) samples in the validation set.
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عنوان ژورنال:
- CoRR
دوره abs/1510.03349 شماره
صفحات -
تاریخ انتشار 2015