A gradient-optimized single oblique regression tree with linear leaf models reports higher average test R2 than random forest on 16 datasets, though the gain is not statistically significant.
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Can a Single Tree Outperform an Entire Forest?
A gradient-optimized single oblique regression tree with linear leaf models reports higher average test R2 than random forest on 16 datasets, though the gain is not statistically significant.