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ml-recall

#naive-bayes

12 questions from Classification, Probabilistic & Graphical Models

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12 questions · 12 min · score and explanations at the end

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Question 1: Short answer

mediumAI-checkedClassification

A naive Bayes classifier with binary features is trained (with plain counting) on the XOR data: inputs (0,0),(0,1),(1,0),(1,1)(0,0), (0,1), (1,0), (1,1) with labels 0,1,1,00, 1, 1, 0. What posterior P(y=1∣x=(1,1))P(y = 1 \mid \mathbf{x} = (1, 1)) does it output?

a probability, e.g. 0.25