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Table 3 10-fold cross-validation accuracy by class for neural networks generated for two datasets.

From: Prediction of peptides observable by mass spectrometry applied at the experimental set level

Class True positive rate False positive rate Precision Recall ROC Area
Avian Bursal Dataset
Not observed 0.80 0.19 0.81 0.80 0.87
Observed 0.82 0.20 0.80 0.82 0.87
Hodgkin's Lymphoma Model Dataset
Not observed 0.66 0.22 0.75 0.66 0.80
Observed 0.78 0.34 0.70 0.78 0.80