Table A.2
Improved results through active learning.
Select the K hard samples | Precision | Accuracy | Recall | F1 score | MCC | AP | Sum |
---|---|---|---|---|---|---|---|
ZTF-NEWg | |||||||
97.8±1.1 | 98.7±0.5 | 97.8±1.1 | 97.8±0.9 | 96.9±1.2 | 99.9±0.1 | 588.8±2.2 | |
✓ | 98.0±1.3 | 98.8±0.3 | 98.2±1.2 | 98.1±0.5 | 97.2±0.8 | 99.9±0.1 | 590.2±2.0 |
ZTF-NEWr | |||||||
97.4±1.8 | 98.5±0.4 | 97.5±1.6 | 97.4±0.6 | 96.3±0.8 | 99.6±0.4 | 586.7±2.7 | |
✓ | 97.7±1.1 | 98.8±0.2 | 98.5±1.2 | 98.1±0.3 | 97.3±0.5 | 99.7±0.4 | 590.1±1.8 |
ZTF-NEWm | |||||||
95.4±2.5 | 97.7±0.7 | 97.0±0.8 | 96.2±1.1 | 94.5±1.6 | 99.6±0.2 | 580.3±3.3 | |
✓ | 97.6±0.4 | 98.6±0.1 | 97.6±0.3 | 97.6±0.2 | 96.6±0.3 | 99.5±0.6 | 587.5±0.8 |
Notes. We employ precision, accuracy, recall, F1 score, Matthews correlation coefficient (MCC), and average precision (AP) as performance measurement indicators. The overall performance measurement is obtained by summing the values of these six indicators (shown in the last column). All results listed are SSLS (R = 3).
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