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Table 8.

Statistics for the network trained with partially processed EAGLE images at testing.

Processing None C N R Z CNR CNZ CRZ NRZ
Epoch used 183 167 191 135 116 167 43 145 36
Cut threshold 0.47 0.48 0.42 0.45 0.47 0.48 0.40 0.50 0.43
ROC area 0.943 0.948 0.933 0.903 0.893 0.911 0.803 0.866 0.763
Recall 0.841 0.841 0.866 0.786 0.791 0.776 0.692 0.667 0.657
Precision 0.904 0.889 0.888 0.845 0.846 0.867 0.735 0.859 0.688
Specificity 0.910 0.896 0.891 0.856 0.856 0.881 0.751 0.889 0.701
NPV 0.851 0.849 0.869 0.800 0.804 0.797 0.709 0.725 0.671
Accuracy 0.876 0.868 0.866 0.821 0.823 0.828 0.721 0.778 0.679

Notes. C is convolving the EAGLE image with the SDSS PSF, N is injecting the EAGLE image into the real SDSS noise, R is matching the EAGLE resolution to that of SDSS and Z is changing the EAGLE magnitude to apparent from absolute.

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