- Let us take another example of playing chess from Chapter 2, Naive Bayes. How would you classify a data sample (warm,strong,spring,?) according to the random forest algorithm?
Temperature |
Wind |
Season |
Play |
Cold |
Strong |
Winter |
No |
Warm |
Strong |
Autumn |
No |
Warm |
None |
Summer |
Yes |
Hot |
None |
Spring |
No |
Hot |
Breeze |
Autumn |
Yes |
Warm |
Breeze |
Spring |
Yes |
Cold |
Breeze |
Winter |
No |
Cold |
None |
Spring |
Yes |
Hot |
Strong |
Summer |
Yes |
Warm |
None |
Autumn |
Yes |
Warm |
Strong |
Spring |
? |
- Would it be a good idea to use only one tree and a random forest? Justify your answer.
- Can cross-validation improve the results of the classification by the random forest? Justify your answer.
Analysis:
- We run the program to construct the random forest and classify the feature (Warm, Strong, Spring). ...