2025
Cross Validation for Correlated Data in Classification Models
AISTATS 2025poster
We present a methodology for model evaluation and selection in binary classification models with the presence of correlations in the data, where the sampling mechanism violates the i.i.d. assumption. Our methodology involves a formulation of the bias term between the standard Cross-Validation (CV) e…