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. 2020 Mar 18;22(2):2161–2171. doi: 10.1093/bib/bbaa025

Table 4 .

Metrics of results produced by the algorithms using similarity matrices obtained from TTD.

Algorithm Runtime (s) AUC F1 Sensitivity Specificity
Mean SD Mean SD Mean SD Mean SD Mean SD
CMMC 3.378 0.307 0.846 0.037 0.084 0.070 0.122 0.093 0.996 0.008
GRMF 4176.739 136.152 0.701 0.064 0.031 0.029 0.095 0.067 0.990 0.013
WKNKN + GRMF 4143.534 120.312 0.683 0.057 0.083 0.074 0.091 0.086 0.991 0.036
L21GRMF 4148.855 121.843 0.699 0.064 0.030 0.031 0.095 0.071 0.989 0.018
WKNKN + L21GRMF 4156.066 111.406 0.690 0.057 0.083 0.076 0.087 0.071 0.993 0.025
NRLMF 4.228 0.639 0.621 0.066 0.030 0.025 0.072 0.057 0.990 0.019
WKNKN + NRLMF 4.579 0.351 0.651 0.063 0.054 0.052 0.077 0.051 0.996 0.009
NRLMFInline graphic 65.611 3.659 0.621 0.066 0.030 0.025 0.072 0.057 0.990 0.019
WKNKN + NRLMFInline graphic 67.278 3.810 0.651 0.063 0.054 0.052 0.077 0.051 0.996 0.009