AccuRATE Example
[1]:
from ratingslib.datasets.filenames import dataset_path, FILENAME_EPL_2018_2019_20_GAMES
from ratingslib.ratings.accurate import AccuRate
filename = dataset_path(FILENAME_EPL_2018_2019_20_GAMES)
AccuRate().rate_from_file(filename)
[1]:
| Item | rating | ranking | |
|---|---|---|---|
| 0 | Arsenal | -2.587401 | 15 |
| 1 | Bournemouth | 2.259921 | 6 |
| 2 | Brighton | -1.000000 | 11 |
| 3 | Burnley | -1.542211 | 12 |
| 4 | Cardiff | -1.866066 | 14 |
| 5 | Chelsea | 2.402189 | 4 |
| 6 | Crystal Palace | 0.184273 | 9 |
| 7 | Everton | 1.000000 | 7 |
| 8 | Fulham | -3.140221 | 16 |
| 9 | Huddersfield | -6.121948 | 18 |
| 10 | Leicester | 0.259921 | 8 |
| 11 | Liverpool | 3.148589 | 2 |
| 12 | Man City | 3.407759 | 1 |
| 13 | Man United | 0.000000 | 10 |
| 14 | Newcastle | -1.000000 | 11 |
| 15 | Southampton | -1.000000 | 11 |
| 16 | Tottenham | 2.356604 | 5 |
| 17 | Watford | 2.787504 | 3 |
| 18 | West Ham | -3.297397 | 17 |
| 19 | Wolves | -1.655507 | 13 |