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Table 5.
Training on image data of Virgo and evaluating on Fornax image data.
| Averaged per galaxy | Average over all sources | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Method | TPR | FPR | FDR | AUC ROC | TPR | FPR | FDR | AUC ROC | # TPs | # FPs |
| Nearest Neighbour | 0.77 | 0.04 | 0.24 | − | 0.81 | 0.04 | 0.12 | − | 4982 | 650 |
| 12 Nearest Neighbours | 0.75 | 0.03 | 0.20 | 0.96 | 0.81 | 0.03 | 0.09 | 0.97 | 4969 | 476 |
| Random Forest | 0.74 | 0.03 | 0.18 | 0.96 | 0.81 | 0.03 | 0.09 | 0.97 | 4985 | 495 |
| Convolutional Neural Network (CNN) | 0.90 | 0.03 | 0.14 | 0.99 | 0.94 | 0.04 | 0.09 | 0.99 | 5771 | 563 |
| CNN + Nearest Neighbour | 0.87 | 0.04 | 0.18 | − | 0.91 | 0.04 | 0.10 | − | 5634 | 633 |
| CNN + 12 Nearest Neighbours | 0.89 | 0.03 | 0.14 | 0.98 | 0.93 | 0.03 | 0.08 | 0.98 | 5729 | 517 |
Notes. The Fornax data contains in total 21 767 sources with 6161 catalogued GCs. Results are given for a decision threshold of 0.5.
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