Table 2 Results of one specific train test split
From: Laying the experimental foundation for corrosion inhibitor discovery through machine learning
Target | # Features | RMSE structural | RMSE structural + DFT | RMSE structural + pH | RMSE structural + DFT + pH | R2 structural | R2 structural + DFT | R2 structural + pH | R2 structural + DFT + pH |
|---|---|---|---|---|---|---|---|---|---|
IE | 10 | 0.24 | 0.23 | 0.18 | 0.18 | 0.17 | 0.19 | 0.49 | 0.51 |
5 | 0.22 | 0.24 | 0.2 | 0.19 | 0.27 | 0.13 | 0.42 | 0.43 | |
IP | 10 | 0.19 | 0.19 | 0.18 | 0.18 | 0.25 | 0.31 | 0.32 | 0.38 |
5 | 0.2 | 0.15 | 0.16 | 0.15 | 0.19 | 0.55 | 0.49 | 0.54 |