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last_value_results.csv
1 | dataset | rmse | mse | mae |
---|---|---|---|---|
2 | weather | 3.114059003829736 | 19.799946602304583 | 2.362190193902301 |
3 | tourism_yearly | 111078.12328993063 | 363513954611.7144 | 99456.0540551959 |
4 | tourism_quarterly | 19527.771486861628 | 6201928361.602383 | 15845.100306204946 |
5 | tourism_monthly | 7374.891631391369 | 619111237.8884984 | 5636.83029361023 |
6 | cif_2016 | 513908.01521842513 | 4215886809397.5137 | 386526.3670424068 |
7 | australian_electricity_demand | 800.8367705189698 | 885757.1106004094 | 652.185211690267 |
8 | pedestrian_counts | 201.73714366476048 | 151208.0053661616 | 149.78377525252526 |
9 | nn5_weekly | 20.207279217372406 | 551.324271498317 | 16.708553516113007 |
10 | kaggle_web_traffic_weekly | 2751.056545255073 | 745610075.6193119 | 2081.781183003247 |
11 | solar_10_minutes | 2.916518075950651 | 15.696517675162108 | 2.72692214517589 |
12 | solar_weekly | 1918.441068452442 | 4732343.391918798 | 1729.4092503457173 |
13 | fred_md | 3128.761597032152 | 789147915.1258634 | 2825.672461360779 |
14 | traffic_hourly | 0.038692458579408555 | 0.0018708090134443467 | 0.029967592352576376 |
15 | traffic_weekly | 1.5367087177120735 | 4.087448585855902 | 1.1855844384623289 |
16 | hospital | 28.901001578961637 | 5851.362559756627 | 24.06573229030856 |
17 | covid_deaths | 403.4146883707207 | 4435194.603884712 | 353.7093984962405 |
18 | saugeenday | 39.79399009437644 | 1583.56164763133 | 21.496667098999023 |
19 | us_births | 1608.8383179590587 | 2588360.7333333334 | 1152.6666666666667 |
20 | solar_4_seconds | 0.0 | 0.0 | 0.0 |
21 | wind_4_seconds | 0.0 | 0.0 | 0.0 |
22 | oikolab_weather | 130.07108228180007 | 81269.08468305029 | 120.03774162319314 |