Research Article
A Multiple Kernel Learning Approach for Air Quality Prediction
Table 9
Performance comparison for predicting the future 6 hour’s AQHI in HK.
| | Accuracy | mse | wr | wf | wp |
| ARIMA | 0.471 | 1.208 | 0.471 | 0.472 | 0.474 | RF | 0.785 | 0.27 | 0.785 | 0.781 | 0.783 | MLP | 0.942 | 0.086 | 0.942 | 0.939 | 0.938 | SVC_linear | 0.965 | 0.038 | 0.965 | 0.965 | 0.966 | SVC_rbf | 0.937 | 0.066 | 0.937 | 0.937 | 0.937 | SVC_poly | 0.959 | 0.043 | 0.959 | 0.960 | 0.960 | SVC_sigmoid | 0.267 | 4.992 | 0.267 | 0.113 | 0.071 | LSTM | 0.732 | 0.300 | 0.732 | 0.733 | 0.749 | MKSVC | 0.976 | 0.028 | 0.976 | 0.976 | 0.976 |
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