Calibration Insights
Claudia sheds light on the zero-sum nature of cross validation, emphasizing the impact of training set choices on test sets. She highlights the diminishing importance of calibration artifacts with larger datasets and discusses the limitations of cross validation in the absence of sufficient data.In this clip
From this podcast

Data Skeptic
Predictive Models on Random Data
Related Questions