Comments (3)
edwardwliu
commented on June 12, 2024
It's possible this is related to scaling per Theo
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petrovicboban
commented on June 12, 2024
@edwardwliu what's the status of this?
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edwardwliu
commented on June 12, 2024
Another issue that may be related to precision is that when predicting over the same dataset used in training, sometimes not all leaves are used.
There has been one case when honesty=TRUE and scale=TRUE where the number of unique leaves != number of unique predictions when predicting over the data used for averaging
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Related Issues (20)
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