Let's take an example from Chapter 2, Naive Bayes, again:
Temperature |
Wind |
Sunshine |
Play |
Cold |
Strong |
Cloudy |
No |
Cold |
Strong |
Cloudy |
No |
Warm |
None |
Sunny |
Yes |
Hot |
None |
Sunny |
No |
Hot |
Breeze |
Cloudy |
Yes |
Warm |
Breeze |
Sunny |
Yes |
Cold |
Breeze |
Cloudy |
No |
Cold |
None |
Sunny |
Yes |
Hot |
Strong |
Cloudy |
Yes |
Warm |
None |
Cloudy |
Yes |
Warm |
Strong |
Sunny |
? |
We would like to find out whether our friend would like to play chess with us in the park. But this time, we would like to use decision trees to find the answer.