Table 3. Improvement percentage of our predictive performance compared with LSTM in terms of MAE in the five most and least improved prefectures.
Lower values indicate greater improvement because a lower MAE indicates better performance.
| Rank | 2016/31st–2017/30th | 2017/31st–2018/30th | 2018/31st–2019/30th | 2019/31st–2020/30th | ||||
|---|---|---|---|---|---|---|---|---|
| Prefecture | Improve ment (%) | Prefecture | Improve ment (%) | Prefecture | Improve ment (%) | Prefecture | Improve ment (%) | |
| 1 | Tokushima | -79.5 | Aomori | -46.1 | Oita | -50.7 | Kochi | -61.1 |
| 2 | Kagawa | -75.0 | Nigata | -45.5 | Gunma | -48.2 | Kagoshima | -60.5 |
| 3 | Hiroshima | -74.0 | Fukui | -39.9 | Okayama | -47.8 | Wakayama | -60.4 |
| 4 | Okayama | -69.8 | Ishikawa | -39.6 | Ehime | -47.6 | Miyazaki | -58.7 |
| 5 | Yamaguchi | -66.9 | Toyama | -38.7 | Kagawa | -47.2 | Saga | -55.7 |
| 43 | Gifu | -34.0 | Okinawa | -14.9 | Shizuoka | -17.3 | Akita | 9.1 |
| 44 | Shiga | -32.3 | Kyoto | -12.5 | Tokyo | -14.5 | Hukushima | 10.6 |
| 45 | Fukushima | -27.8 | Kochi | -11.6 | Okinawa | -13.1 | Nagano | 14.4 |
| 46 | Yamagata | -24.2 | Okayama | -11.5 | Yamaguchi | -5.0 | Aomori | 15.9 |
| 47 | Okinawa | -17.5 | Shiga | -9.1 | Miyazaki | 1.6 | Hokkaido | 20.5 |