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.
BY Best Interview Question ON 29 Dec 2020