G Ltsunny Gt Lt Warm Gt Lt High Gt Training Data Ltsunny Warm #59
G = (<sunny, ?, ?, ?> ; <?, warm, ?, ?> ; <?, ?, high, ?>). Training data = <sunny, warm, normal, same> => Yes (positive example). How will G 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 - Candidate Elimination Algorithm - Quiz No.1.
G = (<sunny, ?, ?, ?> ; <?, warm, ?, ?> ; <?, ?, high, ?>). Training data = <sunny, warm, normal, same> => Yes (positive example). How will G be represented after encountering this training data?
<phi, phi, phi, phi>
(<sunny, ?, ?, ?> ; <?, warm, ?, ?> ; <?, ?, high, ?>)
(<sunny, ?, ?, ?> ; <?, warm, ?, ?>)
<?, ?, ?, ?>
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