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Problem 3. (20 points) uppose we have the traffic dataset in the following Table. Traffic Jam No Yes Index Rush hour Bad Weather No No

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Problem 3. (20 points) uppose we have the traffic dataset in the following Table. Traffic Jam No Yes Index Rush hour Bad Weather No No Accident No No No No Yes No Yes No No No No No No Yes No No Yes No No No No Yes Yes Yes Yes No No No No Yes Yes No Yes No Yes Yes No No No No No No No No 10 Yes Yes Yes 12 13 14 Yes Yes Given the following observation x-"Rush hour" "Yes", "Bad Weather" Yes", and "Accident" No) Please illustrate how to use Naive Bayesian classifier to predict the label ("Traffic Jam" "Yes" or "No"). That is, p["Traffic Jam" Yes" I X), and p("Traffic Jam"-"No" | X). Solutions

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