Table A.3
Effect of the amount of unlabeled data usage.
| The count of unlabeled data usage | Precision | Accuracy | Recall | F1 score | MCC | AP | Sum | Time |
|---|---|---|---|---|---|---|---|---|
| ZTF-NEWg | ||||||||
| 5000 | 97.8±1.1 | 98.8±0.4 | 98.1±1.4 | 98.0±0.6 | 97.1±0.9 | 99.9±0.1 | 589.7±2.1 | 57.0±1.6 |
| 10000 | 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 | 81.0±7.1 |
| 15000 | 97.4±1.7 | 98.8±0.4 | 98.5±0.8 | 98.0±0.6 | 97.1±0.9 | 99.9±0.1 | 589.6±2.2 | 120.6±1.4 |
| 20000 | 96.1±2.9 | 98.3±0.9 | 98.5±0.7 | 97.3±1.4 | 96.1±2.0 | 99.7±0.2 | 586.1±4.0 | 166.2±15.8 |
| ZTF-NEWr | ||||||||
| 5000 | 97.8±1.1 | 98.8±0.3 | 98.2±0.5 | 98.0±0.5 | 97.1±0.6 | 99.7±0.3 | 589.7±1.5 | 57.0±2.0 |
| 10000 | 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 | 86.2±11.3 |
| 15000 | 97.6±1.5 | 98.9±0.4 | 98.8±1.1 | 98.2±0.7 | 97.4±1.0 | 99.7±0.5 | 590.5±2.3 | 119.4±4.2 |
| 20000 | 97.4±0.9 | 98.6±0.3 | 98.0±1.0 | 97.7±0.6 | 96.7±0.8 | 99.6±0.6 | 588.1±1.8 | 157.2±4.1 |
| ZTF-NEWm | ||||||||
| 5000 | 97.0±0.4 | 98.5±0.2 | 98.1±0.5 | 97.6±0.2 | 96.5±0.4 | 99.7±0.2 | 587.5±0.8 | 60.2±1.6 |
| 10000 | 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 | 90.0±2.8 |
| 15000 | 96.5±1.4 | 98.4±0.4 | 98.4±0.5 | 97.4±0.6 | 96.3±0.9 | 99.6±0.5 | 586.7±2.0 | 114.6±1.2 |
| 20000 | 97.5±0.6 | 98.5±0.2 | 97.5±0.9 | 97.5±0.3 | 96.4±0.4 | 99.7±0.2 | 587.0±1.2 | 151.0±1.4 |
Notes. We employed 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 second last column). The consumption time for each setting (The count of unlabeled samples usage are 5000, 10000, 15000, and 20000) is provided in the last column where the unit used is minute. All results listed are SSLS (R = 3).
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