September 27, 2023

Today’s Lecture,

A. Mean Squared Error:-

1. It Tells us about the performance of the model.
2. It penalized the error of the model.
3. It is mostly used in cost function.
4. Points which are far away from the best fit line are the outliers.
5. It is sensitive to outliers.                                                                                                                                                                                                                                                                                                 B. More Complex Model:-
6. Complexity of the model is depend on the parameters used for the model.
7. More parameters means more complexity.
8. We have seen the example of the quadratic equation which shows the complexity of the model.