Table 6 Experimental results.
From: An air quality index prediction model based on CNN-ILSTM
Model | MAE | MSE | R2 | Training time (s) |
|---|---|---|---|---|
SVR | 19.2644 | 483.6269 | 0.8750 | 411.2 |
RFR | 15.364 | 402.6292 | 0.8905 | 341.3 |
MLP | 13.6186 | 386.3648 | 0.9106 | 50.3 |
LSTM | 9.4974 | 266.8523 | 0.9447 | 124.9 |
GRU | 11.0032 | 270.8179 | 0.9411 | 71.6 |
ILSTM | 9.2420 | 248.9234 | 0.9508 | 64.2 |
CNN-LSTM | 9.2314 | 258.5143 | 0.9466 | 149.5 |
CNN-GRU | 9.0615 | 248.6389 | 0.9478 | 92.5 |
CNN-ILSTM | 8.4134 | 202.1923 | 0.9601 | 85.3 |
