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. 2018 Jan 11;8:235. doi: 10.3389/fgene.2017.00235

Table 4.

Performance metrics for the proposed approach with regard to classification of different families of HSPs.

HSP family Sensitivity Specificity Accuracy Precision MCC AUC-ROC AUC-PR
HSP20 0.9463 0.9661 0.9628 0.8438 0.8718 0.9835 0.4860
HSP40 0.9745 0.9513 0.9647 0.9645 0.9276 0.9868 0.4884
HSP60 0.6792 0.9886 0.9661 0.8244 0.7307 0.9480 0.4516
HSP70 0.8849 0.9884 0.9752 0.9179 0.8871 0.9547 0.4633
HSP90 0.7500 0.9976 0.9917 0.8863 0.8112 0.8942 0.4277
HSP100 0.8889 0.9957 0.9917 0.8889 0.8846 0.9937 0.4935