Introducing
Your new presentation assistant.
Refine, enhance, and tailor your content, source relevant images, and edit visuals quicker than ever before.
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Presented by
Neha shikha 173050080
Abhijit Patil 173050085
Kuber Gautam 173050087
Kaggle Competition
WSDM - KKBox's Music Recommendation Challenge
To predict the chances of a user listening to a song repetitively after the first observable listening event within a time window was triggered.
LightGBM is a gradient boosting framework that uses tree based learning algorithms. It is designed to be distributed and efficient with the following advantages:
For LightGBMs, Our best single model is 0.671 on public with a learning rate of 0.3
Things to learn
(Training Error less, Test Error More--> Overfitting)