It would be great if we could know which training or validation era is ‘close’ to the live era to enhance our model performance in the tournament. This knowledge may help us avoid a burning era by focusing our modeling on improving its validation performance on that ‘close’ era.
Here I use a simple deep metric learning approach to do that in the following kaggle notebook.
Feel free to comment and upvote if you like:)