Table 2 Performance comparison results on air pollution datasets (in terms of MSE and MAE).
Model_Name/performance metric | Air pollution dataset- Delhi (\(AP_{DT2}\)) | Air pollution dataset - Punjab (\(AP_{DT1}\)) | ||||
|---|---|---|---|---|---|---|
MSE_Validation \((*\ 10^{-3})\) | MSE_Test \(( *\ 10^{-3})\) | MAE_Test \((*\ 10^{-2})\) | MSE_Validation \((*\ 10^{-3})\) | MSE_Test \(( *\ 10^{-3})\) | MAE_Test \((*\ 10^{-2})\) | |
MLP | 2.400 | 6.556 | 5.816 | 2.184 | 5.457 | 5.273 |
EvoLearn + MLP | 2.223 | 4.690 | 4.687 | 2.077 | 5.292 | 5.020 |
DNN4 | 4.730 | 8.989 | 7.095 | 2.711 | 6.791 | 5.830 |
EvoLearn + DNN4 | 2.073 | 6.124 | 5.560 | 1.891 | 4.934 | 4.649 |
DNN7 | 1.786 | 9.307 | 6.044 | 1.772 | 5.843 | 5.208 |
EvoLearn + DNN7 | 1.799 | 6.636 | 5.408 | 1.715 | 5.344 | 4.569 |
CNN | 2.342 | 8.737 | 6.539 | 2.808 | 7.404 | 5.725 |
EvoLearn + CNN | 2.215 | 8.199 | 6.189 | 2.517 | 7.160 | 5.255 |
RNN | 2.314 | 5.878 | 5.388 | 1.742 | 4.768 | 4.748 |
EvoLearn + RNN | 2.067 | 4.799 | 4.494 | 1.762 | 3.946 | 3.730 |
GRU | 1.948 | 4.949 | 4.684 | 1.494 | 3.952 | 3.768 |
EvoLearn + GRU | 1.849 | 4.632 | 4.526 | 1.476 | 3.874 | 3.685 |
