Table 8.
State Code | MAE of the models | RMSE of the models | ||||||
---|---|---|---|---|---|---|---|---|
LR | NLR | SETG | Proposed | LR | NLR | SETG | Proposed | |
AS | 1012.45 | 1934.22 | 603.1 | 582.24 | 1238.17 | 2219.91 | 791.35 | 777.55 |
BR | 1599.22 | 2730.12 | 743.59 | 743.41 | 1694.27 | 2879.52 | 839.75 | 837.1 |
CT | 1555.54 | 1151.43 | 748.36 | 666.94 | 1901.66 | 1577.51 | 1052.13 | 975.87 |
DD | 1316.05 | 1044.28 | 1102.08 | 1035.32 | 1768.04 | 1560.41 | 1577.37 | 1490.44 |
GJ | 411.4 | 771.3 | 465.47 | 391.87 | 504.67 | 888.87 | 520.13 | 495.34 |
KA | 2290.76 | 4599.57 | 2894.49 | 3202.58 | 3173.07 | 5989.39 | 3422.7 | 3790.83 |
KL | 4361.27 | 3448.6 | 1785.37 | 1521.97 | 4704.23 | 3803.99 | 1959.68 | 2057.84 |
MP | 751.67 | 974.18 | 385.68 | 251.31 | 965.65 | 1147.33 | 683.96 | 612.9 |
MH | 6491.79 | 9877.93 | 3615.85 | 2762.47 | 7887.57 | 12082.24 | 4426 | 3824.2 |
MN | 94.44 | 78.11 | 104.12 | 101.61 | 169.29 | 147.42 | 172.06 | 168.37 |
OR | 1170.91 | 1865.89 | 939.2 | 738.9 | 1330.54 | 2263.87 | 987.66 | 785.23 |
RJ | 441 | 374.96 | 1018.03 | 1070 | 524.02 | 518.2 | 1118.78 | 1173.75 |
TN | 3555.96 | 6338.53 | 2375.31 | 2428.69 | 4049.04 | 6957.31 | 2582.13 | 2628.19 |
UP | 2259.24 | 4216.58 | 472.14 | 506.21 | 2588.59 | 4916.67 | 633.66 | 658.96 |
WB | 238.73 | 1458.76 | 325.47 | 150.51 | 269.53 | 1494.36 | 362.45 | 196.82 |
The bold values indicate the best prediction performances attained by any model, for a given state/province