How is overfitting different from underfitting?

Answer»

Overfitting	Underfitting
Overfitting happens when a factual model or AI calculation catches the COMMOTION of the information.	Underfitting happens when a measurable model or AI calculation can't catch the basic pattern of the information
Performance in showing the training data is excellent whereas it has a poor generalization to other data	Terrible showing on the preparation information and helpless SPECULATION to other details.
Overfitting REPRESENTS a COMPLEX model, such as having many parameters relative to the number of observations.	Underfitting represents a scenario when fitting a linear model to non-linear data.

Discussion