Table 2.
Validation results for sensitivity, precision, and F1-score in percentage for DL, using the 7:3 random split
| BCS | Sensitivity, % | Precision, % | F1-Score, % | |||
|---|---|---|---|---|---|---|
| Exact | 0.5-unit DEV | Exact | 0.5-unit DEV | Exact | 0.5-unit DEV | |
| 1.5 | 3 (0-11) | 88 (71-100) | 25 (0-100) | 40 (0-100) | 3 (0-14) | 39 (0-100) |
| 2.0 | 55 (45-62) | 99 (97-100) | 63(60-69) | 98 (96-99) | 59 (51-63) | 98 (97-99) |
| 2.5 | 67 (63-76) | 98 (96-100) | 47 (43-52) | 94 (93-97) | 55 (52-57) | 96 (95-97) |
| 3.0 | 33 (21-46) | 98 (96-99) | 40 (35-45) | 91 (88-97) | 36 (27-43) | 94 (93-97) |
| 3.5 | 44 (32-60) | 82 (77-93) | 41 (32-51) | 88 (82-93) | 42 (32-48) | 85 (80-92) |
| 4.0 | 7 (0-29) | 72 (61-83) | 30 (0-100) | 93 (71-100) | 9 (0-34) | 81 (73-91) |
| 4.5 | 3 (0-20) | 26 (0-55) | 13 (0-100) | 23 (0-100) | 4 (0-25) | 13 (0-57) |
| WAvg | 48 (46-51) | 94 (93-95) | 47 (44-52) | 91 (89-94) | 46 (44-49) | 91 (89-94) |
The parenthesis represents the range among replicates. DL = DeepLearning, BCS = Body Condition Score, Exact = exact score, DEV = deviation, WAvg = weighted average by frequency.