Table 5.
Validation results from regression models using the 7:3 random split
| BCS | PLS | DL | GBM | |||
|---|---|---|---|---|---|---|
| Exact | 0.5-unit DEV | Exact | 0.5-unit DEV | Exact | 0.5-unit DEV | |
| 1.5 | 33 (19-52) | 91 (80-100) | 16 (6-29) | 89 (72-100) | 6 (0-18) | 84 (76-94) |
| 2.0 | 49 (46-52) | 97 (94-99) | 50 (45-54) | 97 (95-99) | 53 (47-58) | 97 (96-99) |
| 2.5 | 60 (56-69) | 98 (96-99) | 67 (61-73) | 98 (97-99) | 62 (57-66) | 98 (96-99) |
| 3.0 | 55 (51-58) | 98 (97-100) | 52 (44-60) | 98 (97-99) | 51 (41-57) | 97 (95-99) |
| 3.5 | 45 (36-51) | 94 (91-99) | 41 (34-48) | 91 (86-98) | 39 (33-45) | 90 (83-94) |
| 4.0 | 23 (10-35) | 86 (80-96) | 23 (7-29) | 78 (71-83) | 23 (10-31) | 75 (62-91) |
| 4.5 | 9 (0-20) | 65 (42-78) | 9 (0-20) | 64 (40-78) | 2 (0-20) | 47 (20-73) |
| WAvg | 51.2 | 96.1 | 52.0 | 95.5 | 50.4 | 94.3 |
| R 2 | 0.67 (0.65-0.68) | 0.66 (0.64-0.68) | 0.63 (0.61-0.66) | |||
| RMSE | 0.31 (0.29-0.33) | 0.29 (0.26-0.32) | 0.30 (0.28-0.32) | |||
Accuracy of the BCS categories is presented in percentage and parenthesis represents the range among replicates. PLS = Partial Least Square, DL = DeepLearning, GBM = Gradient Boosting Machine, BCS = Body Condition Score, R2 = R-square, RMSE = Root Mean Square Error, Exact = exact score, DEV = deviation, WAvg = weighted average by frequency.