| Category | Indicator | Decision tree | Bayes | KNN | Random forest |
| Football field | Precision | 0.7534 | 0.8017 | 0.7831 | 0.7132 |
| Recall | 0.8264 | 0.8652 | 0.8564 | 0.8446 | |
| Kappa | 0.6552 | 0.8341 | 0.7671 | 0.8035 | |
| Basketball court | Precision | 0.7226 | 0.8313 | 0.8116 | 0.7537 |
| Recall | 0.8451 | 0.8827 | 0.8676 | 0.8512 | |
| Kappa | 0.6769 | 0.9330 | 0.8861 | 0.8937 | |
| Tennis court | Precision | 0.7313 | 0.7587 | 0.7392 | 0.7441 |
| Recall | 0.8016 | 0.8414 | 0.7961 | 0.8083 | |
| Kappa | 0.6956 | 0.7390 | 0.7868 | 0.8152 | |
| Baseball field | Precision | 0.8361 | 0.8005 | 0.8112 | 0.8278 |
| Recall | 0.8567 | 0.8798 | 0.8465 | 0.8653 | |
| Kappa | 0.7372 | 0.8909 | 0.8207 | 0.9254 | |
| Total | mPrecision | 0.7608 | 0.7980 | 0.7862 | 0.7594 |
| mRecall | 0.8324 | 0.8672 | 0.8416 | 0.8423 | |
| Kappa | 0.6912 | 0.8492 | 0.8151 | 0.8594 |