I have created the baseline for this competition based on our LightAutoML with the score 0.3252.
Feel free to use and make it better 😎
P.S. Special thanks goes to @kingabzpro who use LightAutoML on his own before this baseline - that's really cool to hear..
Nice baseline and FE. Model OOF scores ~ 0.5, test scores ~0.4, and only scores 0.33 on public. Why this happens? Does it due to best threshold shifts between trainset and testset? My model scores 0.42 on CV but only scores 0.29 on public, it is a bit strange