Table 3 Result on stockori flowering time data set with noise.
From: Learning accurate and interpretable models based on regularized random forests regression
Numbers after ± are standard deviation. SVR is support vector regression. | |||
|---|---|---|---|
| Â | Random Forests | Our Approach | SVR |
R 2 | 0.43 ± 0.02 | 0.36 ± 0.07 | 0.24 ± 0.05 |
D | 0.13 | 0.1 | 0.01 |