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Table 1 Cross-validation performance (data set S1676) of our previous work, the single-model method, and the three methods with multiple models.

From: Feature-based multiple models improve classification of mutation-induced stability changes

Method AUC MCC Q2 Se Sp PPV NPV
EASE-AA 0.76 0.35 67.11 74.93 64.22 43.68 87.37
EASE-AA2 0.77 0.38 72.67 65.54 75.31 49.58 85.51
EASE-ASA 0.80 0.40 72.62 71.07 73.19 49.55 87.23
EASE-SS 0.80 0.42 73.57 72.13 74.11 50.79 87.77
EASE-MM 0.82 0.44 74.71 73.14 75.28 52.30 88.33
  1. EASE-MM is a consensus method of EASE-ASA and EASE-SS