Table 1.
Regression Method | Statistics | Training | Test | ||
---|---|---|---|---|---|
R2tr | RMSEtr | R2ts | RMSEts | ||
Linear Multi-regression (LM) | Mean | 0.358 | 0.0959 | 0.356 | 0.0954 |
Min | 0.349 | 0.0954 | 0.340 | 0.0932 | |
Max | 0.363 | 0.0966 | 0.384 | 0.0969 | |
Neural Network (NN) | Mean | 0.645 | 0.0709 | 0.672 | 0.0681 |
Min | 0.626 | 0.0697 | 0.620 | 0.0613 | |
Max | 0.659 | 0.0727 | 0.739 | 0.0738 | |
Random Forest (RF) | Mean | 0.855 | 0.0455 | 0.856 | 0.0452 |
Min | 0.851 | 0.0451 | 0.853 | 0.0431 | |
Max | 0.858 | 0.0462 | 0.863 | 0.0461 |