PhasesResearchLab/ESPEI

Overfitting where data is sparse

bocklund opened this issue · 0 comments

3 parameters fit by ESPEI:

image

2 parameter modification:

image

Ridge regression does not solve the problem.

Possible solutions:

  1. Hyperparameter to weight AICc penalty
  2. include a statistical measure like discrepancy on the points you do have for sparse data