I am using a PhysicsAI model which is trained on linear static FE analysis for making predictions on new mesh data. The model has three components which are connected using equivalence of nodes. (For direct prediction on CAD, I am getting low confidence scores like -60 and that's why I am using mesh for prediction.) While using solid mesh (tetras) of the components I am getting good confidence scores like 0.95. But when shell mesh of the same tetramesh is used, the confidence score is coming out -ve values like -1.7. Can somebody explain why this difference is happening? Also any tips for improving predictions on direct CAD is appreciated.
