GPR models’ projected performance for the pre-owned residential housing price indices of ten cities from 6M2019 to 5M2020 during the testing phase
| City | Testing RRMSE (%) | Testing RMSE | Testing MAE | Testing CC (%) |
|---|---|---|---|---|
| Beijing | 0.0492 | 4.0178 | 3.5657 | 99.951 |
| Shanghai | 0.0535 | 4.4844 | 3.8834 | 99.314 |
| Tianjing | 0.0511 | 2.2500 | 1.5302 | 99.965 |
| Chongqing | 0.1498 | 2.5657 | 1.9898 | 99.638 |
| Shenzhen | 0.2535 | 22.9195 | 20.5673 | 99.540 |
| Guangzhou | 0.3035 | 16.8132 | 10.9454 | 96.031 |
| Hangzhou | 0.0458 | 2.6248 | 1.7873 | 99.927 |
| Nanjing | 0.1026 | 5.3085 | 4.0407 | 98.151 |
| Wuhan | 0.0866 | 2.5888 | 1.5776 | 93.916 |
| Chengdu | 0.0761 | 2.0217 | 1.7062 | 99.217 |
| City | Testing RRMSE (%) | Testing RMSE | Testing MAE | Testing CC (%) |
|---|---|---|---|---|
| Beijing | 0.0492 | 4.0178 | 3.5657 | 99.951 |
| Shanghai | 0.0535 | 4.4844 | 3.8834 | 99.314 |
| Tianjing | 0.0511 | 2.2500 | 1.5302 | 99.965 |
| Chongqing | 0.1498 | 2.5657 | 1.9898 | 99.638 |
| Shenzhen | 0.2535 | 22.9195 | 20.5673 | 99.540 |
| Guangzhou | 0.3035 | 16.8132 | 10.9454 | 96.031 |
| Hangzhou | 0.0458 | 2.6248 | 1.7873 | 99.927 |
| Nanjing | 0.1026 | 5.3085 | 4.0407 | 98.151 |
| Wuhan | 0.0866 | 2.5888 | 1.5776 | 93.916 |
| Chengdu | 0.0761 | 2.0217 | 1.7062 | 99.217 |
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