Species Distribution Modeling on Reef Life Survey Case Study 2 (test)
37.6F1 ScoreTh. t
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Th. tLearning Paradigm=Supervised, Calibration Strategy=Validation2026.02 | 37.6 | 50.7 | 24.8 | 75.4 | |
| MaxExpLearning Paradigm=Unsupervised2026.02 | 37.3 | 49.9 | 24.8 | 78.8 | |
| Th. t_fLearning Paradigm=Supervised, Calibration Strategy=Validation2026.02 | 36.6 | 46.9 | 23.9 | 39 | |
| SSELearning Paradigm=Unsupervised2026.02 | 36.3 | 45.4 | 24.1 | 36.6 | |
| Th. tLearning Paradigm=Supervised, Calibration Strategy=Train2026.02 | 36 | 47.9 | 23.8 | 75.4 | |
| Top KLearning Paradigm=Supervised, Calibration Strategy=Validation2026.02 | 35.7 | 48.7 | 23 | 74 | |
| Top KLearning Paradigm=Supervised, Calibration Strategy=Train2026.02 | 35.5 | 48 | 23.1 | 74 | |
| Th. t_fLearning Paradigm=Supervised, Calibration Strategy=Train2026.02 | 29.3 | 36.9 | 18.6 | 27.1 | |
| Th. t_0.5Learning Paradigm=Unsupervised2026.02 | 29.2 | 35.4 | 18.9 | 24.6 | |
| R_optiLearning Paradigm=Supervised, Calibration Strategy=Train2026.02 | 20.4 | 32.7 | 12.3 | 70.5 | |
| R_optiLearning Paradigm=Supervised, Calibration Strategy=Validation2026.02 | 15.5 | 29.5 | 8.6 | 80.6 |