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Apply Tree Model
I've a tree model, trained on a training set. It sais things like
| | | | | t_81012 > -17.939: 1 {1=3862, 0=233}
| | | | | t_81012 ≤ -17.939: 0 {1=0, 0=42}
which basically means that the split on t_81012 leads to leaf cell populations as indicated in { ... }
How can I figure out the same information on a new data set - ie., apply the model to a new dataset and see,
how that model then populates leaf cells (rather than just looking at the combined performance vector over
all leafs?)
Thanks for your help, Stefan
| | | | | t_81012 > -17.939: 1 {1=3862, 0=233}
| | | | | t_81012 ≤ -17.939: 0 {1=0, 0=42}
which basically means that the split on t_81012 leads to leaf cell populations as indicated in { ... }
How can I figure out the same information on a new data set - ie., apply the model to a new dataset and see,
how that model then populates leaf cells (rather than just looking at the combined performance vector over
all leafs?)
Thanks for your help, Stefan
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