Table 2. Regional prediction model performances (averaged across all 47 prefectures in Japan).
Season | Model | 1-week | 2-week | 3-week | 4-week | 5-week | |||||
---|---|---|---|---|---|---|---|---|---|---|---|
MAE | R2 | MAE | R2 | MAE | R2 | MAE | R2 | MAE | R2 | ||
VAR | 181.18 | 0.936 | 248.07 | 0.816 | 314.34 | 0.690 | 456.05 | 0.511 | 607.31 | 0.294 | |
2016/31st | LSTM | 149.76 | 0.939 | 259.34 | 0.820 | 375.67 | 0.693 | 513.66 | 0.537 | 713.20 | 0.240 |
– | CNNRNN-Res | 163.24 | 0.918 | 332.83 | 0.750 | 375.44 | 0.616 | 396.16 | 0.542 | 458.51 | 0.460 |
2017/30th | GCN+S2s w/ AD | 142.08 | 0.931 | 214.89 | 0.828 | 266.42 | 0.616 | 320.02 | 0.530 | 384.38 | 0.540 |
GCN+S2s w/ DD | 133.78 | 0.931 | 216.11 | 0.745 | 279.27 | 0.615 | 312.18 | 0.599 | 389.78 | 0.576 | |
GCN+S2s w/ PF | 148.76 | 0.936 | 211.30 | 0.864 | 265.85 | 0.760 | 305.77 | 0.667 | 313.29 | 0.635 | |
VAR | 237.94 | 0.902 | 420.40 | 0.781 | 699.27 | 0.362 | 663.41 | 0.131 | 987.73 | -0.396 | |
2017/31st | LSTM | 216.64 | 0.866 | 366.58 | 0.678 | 451.27 | 0.580 | 517.39 | 0.541 | 595.47 | 0.415 |
– | CNNRNN-Res | 210.29 | 0.891 | 343.49 | 0.733 | 440.64 | 0.621 | 498.01 | 0.532 | 610.81 | 0.423 |
2018/30th | GCN+S2s w/ AD | 197.20 | 0.918 | 341.72 | 0.791 | 402.10 | 0.704 | 448.38 | 0.628 | 553.52 | 0.619 |
GCN+S2s w/ DD | 201.53 | 0.915 | 322.87 | 0.779 | 399.76 | 0.697 | 479.11 | 0.648 | 480.35 | 0.619 | |
GCN+S2s w/ PF | 215.31 | 0.918 | 338.03 | 0.795 | 399.42 | 0.723 | 442.31 | 0.666 | 459.12 | 0.648 | |
VAR | 239.21 | 0.916 | 341.35 | 0.834 | 579.81 | 0.433 | 822.02 | -0.112 | 1034.90 | -0.695 | |
2018/31st | LSTM | 167.08 | 0.912 | 263.39 | 0.815 | 310.94 | 0.620 | 368.73 | 0.673 | 417.39 | 0.562 |
– | CNNRNN-Res | 168.01 | 0.917 | 375.27 | 0.652 | 422.63 | 0.528 | 512.72 | 0.437 | 615.29 | 0.400 |
2019/30th | GCN+S2s w/ AD | 130.31 | 0.967 | 237.31 | 0.907 | 266.94 | 0.882 | 290.93 | 0.852 | 362.65 | 0.737 |
GCN+S2s w/ DD | 146.09 | 0.961 | 256.22 | 0.895 | 306.38 | 0.859 | 335.03 | 0.830 | 398.36 | 0.745 | |
GCN+S2s w/ PF | 117.40 | 0.974 | 196.45 | 0.918 | 228.85 | 0.884 | 230.85 | 0.887 | 224.62 | 0.890 | |
VAR | 126.56 | 0.942 | 326.09 | 0.420 | 544.50 | -0.803 | 686.64 | -1.901 | 856.59 | -3.459 | |
2019/31st | LSTM | 124.62 | 0.842 | 263.39 | 0.581 | 286.15 | 0.409 | 369.28 | 0.188 | 433.53 | -0.316 |
– | CNNRNN-Res | 100.91 | 0.922 | 283.58 | 0.571 | 333.94 | 0.357 | 399.31 | 0.151 | 501.02 | -0.402 |
2020/30th | GCN+S2s w/ AD | 83.95 | 0.955 | 193.15 | 0.667 | 274.65 | 0.395 | 345.11 | 0.095 | 408.42 | -0.255 |
GCN+S2s w/ DD | 96.82 | 0.959 | 209.93 | 0.704 | 313.72 | 0.472 | 395.97 | 0.164 | 447.38 | -0.074 | |
GCN+S2s w/ PF | 76.26 | 0.954 | 164.05 | 0.707 | 227.57 | 0.473 | 288.72 | 0.230 | 343.89 | 0.006 |