I’ve created an open Kaggle kernel for the IEEE fraud detection competition which is currently ongoing.
Maybe someone will find this code useful as a starting point
Most XGB models which are available as open kernels, or reported in the CV/LB post - show a higher or similar LB to CV/Validation, while in my kernel the LB score (~0.88) is significantly lower (validation ~0.92). Any ideas what might be causing this? Also in a similar manner, the model is unable to reach 0.97 validation AUC as in other kernels while using the same features.