S Ltphi Phi Phigttraining Data Ltrainy Cold Whitegt Gt No #46
S = <phi, phi, phi>Training data = <rainy, cold, white> => No (negative example). How will S be represented after encountering this training data?
This multiple choice question (MCQ) is related to the book/course
gs gs126 Neural Networks.
It can also be found in
gs gs126 Version Spaces - Find-S Algorithm - Quiz No.1.
S = <phi, phi, phi>Training data = <rainy, cold, white> => No (negative example). How will S be represented after encountering this training data?
<phi, phi, phi>
<sunny, warm, white>
<rainy, cold, black>
<?, ?, ?>
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