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Naive Bayes classifier

Theory

Priors

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We have collected another observation earlier: (Precipitation = No, Temperature = 0-5 °C, Wind = Breeze)(\text{Precipitation = No, Temperature = 0-5 °C, Wind = Breeze}). Now, we can update Naive Bayes' parameters to make more precise predictions.

Calculate the prior P(Snowboarding = No)P(\text{Snowboarding = No}) for the data below. Enter your answer with 0.001 precision.

Day Precipitation Temperature Wind Snowboarding
1 No 5-10 °C Calm No
2 No 5-10 °C Breeze No
3 No 0-5 °C Calm Yes
4 Rain 0-5 °C Calm No
5 Snow -10-0 °C Calm Yes
6 Snow -10-0 °C Breeze No
7 No -10-0 °C Breeze Yes
8 Rain 0-5 °C Calm No
9 No -10-0 °C Calm Yes
10 Rain 0-5 °C Calm Yes
11 No 0-5 °C Breeze No
Enter a number
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