Model Architecture

Benchmark

Model	CV	Public	Private
LGBM(10-Fold)	0.6784	0.6247	-
Cat(10-fold)	0.5701	0.5777	-
LightAutoML(10-fold)	0.5610	0.5398	-
Stacking-XGB(10-fold)	0.4808	0.4417	0.42097
Stacking-XGB(10-fold) + MEM x 4	-	0.4117	0.38599

Requirement

• numpy
• pandas
• lightgbm
• xgboost
• catboost
• optuna
• hydra
• neptune-ai

Score

Public 1, Private 2