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Table 3.

Summary of the performance of the CNN at identifying edge-on lens candidates.

Grade Mag. bin Candidates Candidates Completeness Purity of the Prevalence in Ratio of CNN-purity
found expected CNN sample parent sample to base prevalence
A + B 17 to 18 4 11 36% 7.7 × 10−3 3.3 × 10−5 231.2
A + B 18 to 19 7 < 37 > 19% 1.9 × 10−3 0
A + B 19 to 20 10 < 108 > 9% 1.1 × 10−3 0
A + B 20 to 20.5 0 < 106 0 0 0

C 17 to 18 9 55 16% 1.7 × 10−2 1.7 × 10−4 104.0
C 18 to 19 21 100 21% 5.6 × 10−3 1.0 × 10−4 56.2
C 19 to 20 11 95 12% 1.2 × 10−3 3.3 × 10−5 35.7
C 20 to 20.5 1 < 106 > 1% 2.5 × 10−4 0

Notes. Metrics are marginalised by grade and magnitude bin to enable direct comparison with Table 1. We present the number of candidates found, the expected number of candidates based on Table 1, and the completeness (number found / expected number). We also include the fraction of lens candidates among sources inspected for the CNN-selected sample and for the randomly selected sample, respectively; and the ratio between these two, corresponding to the boost in lensing prevalence due to the CNN selection relative to the random selection.

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