*Comparison of AUC and accuracy when the classifier was 10-fold cross-validated on all the peptides in the original training set, or on peptides that the first classifier classified correctly (1st deg
We compare machine-learning methods like UMAP, NMF, and MFA with deep-learning methods. We evaluate the performances on the final predicted output of the downstream classifier.
Table A. Training Data Set: Mean values of MFI calculated using multivariate statistics. Table B. Training Data Set: Experimentally optimized testing data set for 10 attributes (nine infectious agents
