Question

An example for Playing Tennis in machine learning: Attributes are Outlook, Temperature, Humidity and Wind. Data set and some statistics are already calculated below: Day Outlook Temperature Humidity Wind Mlay Tennis DI Sunny D2 Sunny D3 Ov ercast D4 Rain DS Rain D6 Rain D7 Overast DS Sunny D9 Sunny DIO Rain DI Sunny DI2 Overcast D13 Ovencast D1411 Rain Hot Hot Hot Mild Cool Cool Cool Mild Cool Mild Mild Mild High Weak High Strong No High Weak ligh Wenk Normal Weak Normal StrongNo Nomal Strong High Wenk No Yes Yes Norma Weak Normal Weak Yes Yes NonmalStrong High ng Normal Wenk Mild Learning Phase Temperatune Play-Yes Play-No Outlook Play-Yes Play-No Sunny 2/9 3/5 Hot 2/9 2/5 Mild 0/5 2/5 3/9 3/9 1/5 Humidity Play-Yes P Play No Wind Play Yes Play-No High Normal 69 1/5 3/9 4/5 Weak 2/5 P(Play-Yes)-9/14 P( Play-No)-5/14 We want to classify if a new instance x-(outlook-Sunny, Temperature-Cool, Humidity High, Wind-Strong) using the Nalve Bayes Classifier. In other words

Answer 1

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