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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 6.6 years ago by | • modified 4.1 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 |
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