Table 1 Performance comparison on Agra dataset.
Metric | Variant | MLP | SVR | RF | XGB | AHELM | TBLSSVR | MHKLDMR | EM-LR |
|---|---|---|---|---|---|---|---|---|---|
MAE | T | 3.3920 | 5.0563 | 3.9058 | 3.7389 | 3.6023 | 5.8124 | 3.9088 | 3.0752 |
T+W | 4.4666 | 4.8158 | 4.2538 | 3.8997 | 3.3605 | 7.9416 | 3.7198 | 3.1322 | |
T+W+FS | 3.3112 | 5.5833 | 3.8269 | 3.7389 | 3.6051 | 4.5064 | 3.5717 | 3.0757 | |
RMSE | T | 4.3928 | 6.2108 | 4.9953 | 4.8379 | 4.2627 | 6.9123 | 4.4165 | 3.9661 |
T+W | 5.6049 | 5.9812 | 5.3699 | 4.9810 | 4.1316 | 9.0377 | 4.6631 | 4.0326 | |
T+W+FS | 4.2632 | 6.7767 | 4.9172 | 4.8379 | 4.2209 | 5.6678 | 4.2049 | 3.9544 | |
MAPE | T | 0.6614 | 4.7473 | 0.7117 | 0.6417 | 0.5221 | 0.7843 | 0.5697 | 0.4361 |
T+W | 4.5873 | 6.3469 | 0.8702 | 0.7000 | 0.4486 | 0.7652 | 0.5359 | 0.4445 | |
T+W+FS | 0.5413 | 6.2817 | 0.6839 | 0.6417 | 0.4681 | 0.5134 | 0.4490 | 0.4274 | |
MBE | T | – 2.0343 | – 3.5715 | – 2.9414 | – 2.6799 | – 2.1014 | – 4.8027 | – 2.3009 | – 0.8676 |
T+W | – 3.9748 | – 3.5624 | – 3.5121 | – 2.8449 | – 0.4193 | – 7.9280 | 0.2179 | – 0.9173 | |
T+W+FS | – 1.6496 | – 4.5166 | – 2.8188 | – 2.6799 | -0.3573 | – 4.0181 | – 0.8363 | – 0.7192 |
