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. 2021 Sep 9;2(6):452. doi: 10.1007/s42979-021-00845-9

Table 8.

Comparative study of performance regarding recovered case count prediction

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