Problem Statement:

You are training a linear regression model on a dataset D$,$ which is composed of two disjoin subsets, A and B$,$ where $|$A$||$B$|.$ The model minimizes the sum of squared errors across all examples in both A and B$.$

Given the significant difference in dataset sizes, how will the model most likely treat the two groups?

Options:

A$.$ The model will give more importance to group A$,$ leading to better performance on A

and worse performance on B$.$

B$.$ The model will give more importance to group B$,$ leading to better performance on B

and worse performance on A$.$

C$.$ The model will treat both groups A and B equally, without bias toward either group.