Thread: Q9, SVM vs PLA
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Old 05-20-2013, 10:28 PM
Dorian Dorian is offline
Join Date: Apr 2013
Posts: 11
Default Q9, SVM vs PLA

In Question 9 I would have expected naively that the more training points one has, the closer are SVM and PLA and thus a more "balanced" percentage of SVM being better than PLA.

I am saying this because with more training points you have less margin for the margin (sorry for the game of words). My program also concluded this but obviously something went wrong both with the program and my expectation

Why does the opposite happen, i.e. SVM approximates better the target function than PLA with more points?
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