Table 7.
State Code | MAE of the models | RMSE of the models | ||||||
---|---|---|---|---|---|---|---|---|
LR | NLR | SETG | Proposed | LR | NLR | SETG | Proposed | |
AS | 1935.49 | 2983.94 | 440.8 | 326.32 | 2121.11 | 3282.61 | 570.9 | 522.29 |
BR | 1773.8 | 2772.72 | 603.78 | 569.64 | 1870.92 | 2922.27 | 665.69 | 630.88 |
CT | 738.05 | 903.13 | 568.78 | 401.88 | 893.23 | 1162.11 | 667.28 | 497.48 |
DD | 1315.01 | 1113.54 | 1288.03 | 1280.08 | 1879.93 | 1399.39 | 1862.16 | 1800.84 |
GJ | 464.32 | 921.1 | 429.31 | 289.05 | 550.02 | 1027.05 | 485.64 | 336.73 |
KA | 4003.84 | 7513.58 | 1755.75 | 1628.61 | 5105.5 | 9073.32 | 2311.23 | 2029.25 |
KL | 4311.25 | 3196.26 | 1717.29 | 1347.9 | 4694.13 | 3678.28 | 2077.71 | 1728.74 |
MP | 807.47 | 1333.6 | 454.8 | 251.62 | 983.83 | 1562.59 | 726.15 | 595.01 |
MH | 10462.63 | 17578.48 | 2382.59 | 1693.54 | 12089.25 | 20020.84 | 2745.28 | 2234.12 |
MN | 82.05 | 58.05 | 98.83 | 69.97 | 101.15 | 71.78 | 113.32 | 91.5 |
OR | 1512.37 | 2782.41 | 896.68 | 593.08 | 1746.95 | 3263.77 | 936.71 | 652.03 |
RJ | 265.99 | 516.86 | 1077.98 | 980.06 | 319.19 | 663.79 | 1176.32 | 1072.63 |
TN | 4291.93 | 6791.28 | 2026.75 | 1957.42 | 4800.4 | 7433.35 | 2136.09 | 2063.38 |
UP | 3479.5 | 6217.64 | 387.49 | 436.22 | 3839.44 | 6721.56 | 507.25 | 552.22 |
WB | 211.54 | 1633.57 | 547.88 | 338.47 | 329.62 | 1769.06 | 762.67 | 600.8 |
The bold values indicate the best prediction performances attained by any model, for a given state/province