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Variance ≈ Capacity
kNN has high variance and low bias.
NB has low variance and high bias.
Decision surface has to be linear (hyperplane – see later)
Consider asking a botanist: Is an object a tree?
Too much capacity/variance, low bias
Botanist who memorizes
Will always say “no” to new object (e.g., different # of leaves)
Not enough capacity/variance, high bias
Says “yes” if the object is green
You want the middle ground
(Example due to C. Burges)
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