ML benchmark methodology

IBM's lunar model cuts ice-prospectivity RMSE to 0.0293 on a split without a geographic buffer

IBM research data scientist Gabby Nyirjesy told Lets Data Science that neighboring map patches went into training and test with no separation between them. The 22% gain over SwinV2-B holds under that one partition.