Research Article
ELM Meets Urban Big Data Analysis: Case Studies
Table 2
The results of smog-related health hazard prediction.
| Cities | Stacked ELM | BP | nu-SVR | Epsilon-SVR | Random forest | | | Time | | | Time | | | Time | | | Time | | | Time |
| Beijing | 0.65 | 0.80 | 3 | 0.66 | 0.79 | 15 | 0.78 | 0.69 | 9 | 0.56 | 0.53 | 9 | 0.10 | 0.15 | 7 | Tianjin | 0.92 | 0.89 | 3 | 0.56 | 0.59 | 13 | 0.58 | 0.73 | 10 | 0.66 | 0.73 | 11 | 0.15 | 0.14 | 8 | Shanghai | 0.53 | 0.88 | 4 | 0.55 | 0.69 | 16 | 0.55 | 0.64 | 11 | 0.53 | 0.53 | 10 | 0.12 | 0.30 | 8 | Hangzhou | 0.31 | 0.86 | 3 | 0.63 | 0.65 | 10 | 0.54 | 0.55 | 9 | 0.66 | 0.83 | 9 | 0.15 | 0.34 | 7 | Guangzhou | 0.53 | 0.54 | 5 | 0.65 | 0.69 | 15 | 0.53 | 0.66 | 11 | 0.48 | 0.53 | 21 | 0.10 | 0.34 | 8 | Average | 0.75 | 0.73 | 4 | 0.56 | 0.56 | 15 | 0.59 | 0.65 | 10 | 0.59 | 0.73 | 10 | 0.20 | 0.34 | 7 |
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