An ice-rink model shows training AUC near perfect and validation AUC far lower. This is the evaluation diagnosis, not the regularization fix. What does that gap mean?
Select an answer to reveal the explanation.
Short Explanation
Training AUC is near perfect and validation sits far below. That gap is overfitting at evaluation time. A fat train score is not underfitting, Comprehend is not that diagnosis, and a huge gap is not a healthy fit.
Full Explanation
A large train-versus-validation metric gap is the evaluation signature of overfitting. A near-perfect training AUC with a weak validation AUC is not underfitting. Comprehend is not that diagnosis, and a huge gap is not a healthy fit.