Research Article
A Multiple Kernel Learning Approach for Air Quality Prediction
Table 7
Performance comparison for predicting the next hour’s AQHI in HK.
| | Accuracy | mse | wr | wf | wp |
| ARIMA | 0.608 | 0.795 | 0.608 | 0.605 | 0.605 | RF | 0.782 | 0.279 | 0.782 | 0.779 | 0.782 | MLP | 0.908 | 0.101 | 0.908 | 0.908 | 0.909 | SVC_linear | 0.960 | 0.041 | 0.96 | 0.961 | 0.963 | SVC_rbf | 0.937 | 0.065 | 0.937 | 0.937 | 0.938 | SVC_poly | 0.959 | 0.042 | 0.959 | 0.959 | 0.961 | SVC_sigmoid | 0.267 | 4.996 | 0.267 | 0.113 | 0.071 | LSTM | 0.763 | 0.265 | 0.763 | 0.763 | 0.773 | MKSVC | 0.972 | 0.030 | 0.972 | 0.971 | 0.972 |
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