I am reviewing my core AI knowledge on the bias–variance trade-off ↑↓ and trying to reconcile its mathematical definition with common explanations based on training and test errors. (at the end, cause fitting problem, either overfitting or underfitting) In this article , bias is described informally as training error and variance as test error !? Aspect Bias Variance Definition Difference between the average model prediction and the correct...
Originally asked by Mario on Stack Exchange (datascience) (CC BY-SA 4.0).
Variant 77.
Variant 602.