Q.16. Define Logistic Regression. Explain it with suitable example. Q.17. How are the Support Vector Machine useful for categories the data? Q.18. Use Naive Baye's classifier to classify the new instance {Outlook Sunny,Temp-Cool, Humidity=High, Wind-Strong} Day OUTLOOK TEMP HUMIDITY WIND PLAY Day1 Sunny Hot High Weak No Day2 Sunny Hot High Strong No Day3 Overcast Hot High Weak Yes Day4 Rain Mild High Weak Yes Day5 Rain Cool Normal Weak Yes Day6 Rain Cool Normal Strong No Day7 Overcast Cool Normal Strong Yes Day8 Sunny Mild High Weak No Day9 sunny Cool Normal Weak Yes Day 10 Rain Mild Normal Weak Yes Day11 Sunny Mild Normal Strong Yes Day 12 Overcast Mild High Strong Yes Day 13 Overcast Hot Normal Weak Yes Day 14 rain Mild high strong No