Research Article
A Multiple Kernel Learning Approach for Air Quality Prediction
Table 8
Performance comparison for predicting the future 3 hour’s AQHI in HK.
| | Accuracy | Mse | wr | wf | wp |
| ARIMA | 0.525 | 0.945 | 0.525 | 0.525 | 0.529 | RF | 0.782 | 0.275 | 0.782 | 0.778 | 0.781 | MLP | 0.938 | 0.09 | 0.938 | 0.936 | 0.935 | SVC_linear | 0.961 | 0.04 | 0.961 | 0.962 | 0.963 | SVC_rbf | 0.937 | 0.065 | 0.937 | 0.937 | 0.938 | SVC_poly | 0.954 | 0.047 | 0.954 | 0.955 | 0.956 | SVC_sigmoid | 0.267 | 4.994 | 0.267 | 0.113 | 0.071 | LSTM | 0.723 | 0.220 | 0.723 | 0.721 | 0.729 | MKSVC | 0.974 | 0.028 | 0.974 | 0.975 | 0.974 |
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