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The feature space consists of three possible points (events) A, B, C, which occur with probability 0.1, 0.4, 0.5, respectively. For each event there are
The feature space consists of three possible points (events) A, B, C, which occur with probability 0.1, 0.4, 0.5, respectively. For each
event there are two possible labels +1 or 1, which happen with probability 0.9, 0.3 and 0.8 respectively (that is, P(1|A) = 0.9, P(1|B) = 0.3, etc.). Determine the Bayes optimal classifier. What is the expected loss of the Bayes optimal classifier?
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Big Data, Mining, And Analytics Components Of Strategic Decision Making
Authors: Stephan Kudyba
1st Edition
1466568704, 9781466568709
