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Fig. C.1

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Reconstruction of classification scores by S/N, PCT, and CNN2 for various test cases (results of CNN1 are redundant). Equivalent benchmarking is challenging, but objectively applied thresholds highlight the distinct behaviour of each method’s scores. First column: Scores are displayed for the three methods in all test cases. From second to sixth column: Classification maps shown according to increasing thresholds, set to T = {1; 2; 3; 4; 5} for S/N and to T = {0.1; 0.3; 0.5; 0.7; 0.9} for MLCCS. Four colours represent the confusion matrix elements: true positives (TP), false positives (FP), false negatives (FN), and true negatives (TN).

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