3. Section 6.9.1 of Mitchell's textbook demonstrates an example using the Naïve Bayes Algorithm to predict a new instance's label based on a dataset with 14 examples from Table 3.2 of Chapter 3 of his book. If we only have the first 12 samples, as shown below, what is the prediction result for the same new instance? Show your calculations. New instance: Outlook = Sunny, Temperature = Cool, Humidity = High, Wind = Strong DAY OUTLOOK TEMPERATURE HUMIDITY WIND PLAYTENNIS D1 Sunny Hot High Weak No D2 Sunny Hot High Strong No D3 Overcast Hot High Weak Yes D4 Rain Mild High Weak Yes D5 Rain Cool Normal Weak Yes D6 Rain Cool Normal Strong No D7 Overcast Cool Normal Strong Yes D8 Sunny Mild High Weak No D9 Sunny Cool Normal Weak Yes D10 Rain Mild Normal Weak Yes D11 Sunny Mild Normal Strong Yes D12 Overcast Mild High Strong Yes

Fig: 1