Model | Classification accuracy | Mean precision | Mean recall | Mean F1 statistic |
---|---|---|---|---|
Random split behaviour | 98.3% | 0.95 ± 0.05 | 0.98 ± 0.018 | 0.96 ± 0.030 |
Random split behaviour including slope of terrain | 98.2% | 0.95 ± 0.042 | 0.98 ± 0.018 | 0.96 ± 0.024 |
Data split per individual behaviour | 63.0% | 0.48 ± 0.32 | 0.55 ± 0.27 | 0.46 ± 0.28 |
Data split per individual behaviour including slope of terrain | 68.1% | 0.36 ± 0.028 | 0.42 ± 0.082 | 0.034 ± 0.046 |
Pygmy goat predicting Alpine ibex behaviour | 55.5% | 0.55 ± 0.39 | 0.62 ± 0.10 | 0.48 ± 0.30 |
Pygmy goat predicting female Alpine ibex behaviour | 60.2% | 0.55 ± 0.39 | 0.50 ± 0.26 | 0.49 ± 0.32 |
Pygmy goat predicting Alpine ibex behaviour including slope of terrain | 59.8% | 0.29 ± 0.38 | 0.30 ± 0.29 | 0.27 ± 0.32 |
Pygmy goat predicting female Alpine ibex behaviour including slope of terrain | 67.8% | 0.28 ± 0.42 | 0.25 ± 0.34 | 0.26 ± 0.37 |
Randomly generated behaviours | 15.4% | 0.010 ± 0.27 | 0.058 ± 0.09 | 0.038 ± 0.08 |
Randomly generated behaviours with slope of terrain | 26.4% | 0.068 ± 0.24 | 0.040 ± 0.11 | 0.041 ± 0.12 |