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.
Accelerating a random forest classifier: Multi-core, gp-gpu, or fpga? In 2012 IEEE 20th International Symposium on Field- Programmable Custom Computing Machines, pp
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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.