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Table 8 Comparison of models by MSE over all noise disturbance indicators based on a relevant noise measurement separated by ’-’

From: A machine learning approach to small area estimation: predicting the health, housing and well-being of the population of Netherlands

Indicator Nullmodel XGB_xy XGB_ogc STAR Corr Pred Time
Road_high-road 0.0665 0.0635 0.0635 0.0635 0.94 0.00 95.76
Rail_high-rail 0.0114 0.0109 0.0109 0.0109 0.91 0.00 96.62
Air_high-air 0.0357 0.0314 0.0313 0.0313 0.96 0.00 95.88
Road_medhigh-road 0.2234 0.2060 0.2056 0.2058 0.96 0.10 93.73
Rail_medhigh-rail 0.0780 0.0671 0.0667 0.0671 0.96 0.60 93.31
Air_medhigh-air 0.1593 0.1295 0.1286 0.1286 0.98 0.00 93.42
Road_high_gt50-road_pwrw 0.0328 0.0320 0.0320 0.0320 0.91 0.00 96.43
Road_medhigh_gt50-road_pwrw 0.1557 0.1465 0.1462 0.1467 0.95 0.34 94.11
Road_high_sm50-road_gw 0.0519 0.0501 0.0501 0.0502 0.92 0.20 96.73
Road_medhigh_sm50-road_gw 0.2045 0.1918 0.1914 0.1914 0.94 0.00 93.85
Road_high_gt50-road 0.0328 0.0320 0.0320 0.0320 0.90 0.00 95.94
Road_medhigh_gt50-road 0.1557 0.1472 0.1465 0.1467 0.93 0.14 92.50
Road_high_sm50-road 0.0519 0.0501 0.0501 0.0501 0.92 0.00 96.73
Road_medhigh_sm50-road 0.2045 0.1914 0.1911 0.1911 0.95 0.00 94.70