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Apply the Naive Bayes classifier algorithm to classify an unknown sample X (outlook = sunny, temperature = cool, humidity = high, windy = false ) The sample data set is as follows:
written 5.1 years ago by gravatar for teamques10 teamques10 ★ 65k •   modified 2.5 years ago
Outlook Temperature Humidity Windy Class
Sunny Hot High False N
Sunny Hot High True N
Overcast Hot High False P
Rain Mild High False P
Rain Cool Normal False P
Rain Cool Normal True N
Overcast Cool Normal True P
Sunny Mild High False N
Sunny Cool Normal False P
Rain Mild Normal False P
Sunny Mild Normal True P
Overcast Mild High True P
Overcast Hot Normal False P
Rain Mild High True P
data warehouse and mining
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written 2.5 years ago by gravatar for teamques10 teamques10 ★ 65k •   modified 2.5 years ago

Consider the tuple X to classify.
X= (outlook = sunny, temperature = cool, humidity = high, windy = false)

The data tuple described by the attribute outlook, temperature, humidity, windy
The class label class which has 2 distinct values P and N
The C1 corresponds to the class P & …

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