Figure 1.

Relative prediction errors on 10 machine learning datasets

The relative performance in 10 machine learning datasets: (Boston housing, parkinson, sonar, white wine, red wine, parkinson-Oxford, ozone, concrete, breast cancer, and auto MPG). For each dataset, a random training sample of size 150 is used. RF-all represents the best performance among RF, $\text{RF-}\sqrt{p}$, and RF-log p. Each gray line links the performance of the same dataset.