Research Article

Gaussian Process Regression Tuned by Bayesian Optimization for Seawater Intrusion Prediction

Table 3

Detailed error values (in meters) per observation point.

ā€‰BRDTGPRLRMSVRTreeEns

Point IDMAERMSEMAERMSEMAERMSEMAERMSEMAERMSE
158.73124.2710.4045.8841.8082.7014.4376.0731.9380.75
257.45110.0711.1047.5841.4681.6216.5855.1429.4895.61
359.78132.3012.4652.1042.3084.6812.0252.1822.1549.13
458.55127.2514.7848.5846.3482.3041.1690.7226.1982.46
565.54135.7819.1057.3051.8387.7223.0556.8646.9389.04
667.87146.0615.0154.7547.4891.8541.46101.2629.38102.24
762.90125.4813.7051.0944.3495.7824.1298.3323.6981.39
860.40130.5010.4347.4042.8284.4391.60127.2727.1154.66
962.58136.1913.3344.2543.7184.9712.6053.9725.2469.97
1055.96118.6814.2441.0844.1578.5230.3542.5725.0784.73
1159.04124.8510.2144.1346.0282.8714.1852.8625.4483.98
1256.08112.8810.9543.1046.6481.3338.1586.4928.0456.87
1359.74113.9711.7539.1947.9377.5636.7690.7923.9171.20
1463.33126.0414.2145.2352.0482.2138.1490.4531.0072.95
1561.31121.0721.5445.3456.5283.1343.2694.3731.7857.03
1663.08126.6212.8036.7851.3378.6815.4243.8426.2459.00
1761.16122.9816.7838.3848.9178.2537.9186.9024.0866.75
1861.55124.9810.2534.1947.9677.5331.5356.3922.8851.39
1956.87126.9510.4733.2947.1381.7948.3282.9239.9670.75
2055.55117.5811.3235.4647.1984.3715.1942.1427.2085.57
2156.78129.4511.9937.6346.5782.8532.1796.6529.5868.91
2258.32134.7813.2140.3546.3582.1668.3886.5235.4575.93
2354.20116.9412.5538.8645.9883.0489.78153.9331.6990.52
2454.40118.4112.0035.8843.5877.6771.91149.6435.0177.75
2551.40115.5510.9633.8341.3475.98311.01314.7832.0783.58
2650.83109.4410.9235.0740.8374.1081.77139.2421.1258.01
2747.07105.9910.5933.1440.9975.2313.9340.4732.8768.18
2848.54109.1710.3933.6440.7475.6281.09139.4023.2865.71
2949.81113.719.8531.4239.5772.4053.6377.9724.3871.77
3048.81109.3710.3036.1440.3373.5312.1565.3020.2664.56