Research Article
A Multiple Kernel Learning Approach for Air Quality Prediction
Table 12
Performance comparison for predicting the next hour’s PM2.5 IAQL in Beijing.
| | Accuracy | mse | wr | wf | wp |
| ARIMA | 0.482 | 1.153 | 0.482 | 0.481 | 0.52 | RF | 0.472 | 1.956 | 0.472 | 0.442 | 0.443 | MLP | 0.486 | 1.686 | 0.486 | 0.466 | 0.465 | SVC_linear | 0.515 | 1.212 | 0.515 | 0.525 | 0.519 | SVC_rbf | 0.525 | 0.945 | 0.525 | 0.526 | 0.529 | SVC_poly | 0.520 | 1.033 | 0.520 | 0.520 | 0.521 | SVC_sigmoid | 0.391 | 3.999 | 0.391 | 0.219 | 0.153 | LSTM | 0.395 | 3.648 | 0.395 | 0.296 | 0.247 | MKSVC | 0.605 | 0.806 | 0.605 | 0.605 | 0.620 |
|
|