CS181 Concept Check - Lecture 10 (Max Margin)

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Suppose this was your data, with the max margin boundary shown

Question 1: Removing which of the blue (+) and (-) points will change the maximum margin boundary? You can check any number of options.

Removing the blue (+) point

Removing the top blue (-) point

Remove the bottom blue (-) point

Recall this formulation of the soft-margin training problem:

Question 2: Thinking about changes to C, which of the following is true? You can check any number of options.

For very large C, the optimal decision boundary will try to separate the data if possible

As C increases, the formulation allows higher error in classification on the examples

As C increases, the formulation is more able to "bend" with the data

Question 3: What is the effect of higher C on the regularization of the model? *

Higher regularization ("may underfit"!)

Lower regularization ("may overfit"!)

Can't say

Option 4

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