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Table 3 The performance comparison of robustness and generalization of multiple models and the independent test results of ATT-MLP are presented. The MCC and AUC are for Matthews correlation coefficient and Area Under the ROC curve in the table

From: Effective attention-based network for syndrome differentiation of AIDS

Methods
Syndromes Naive Bayes   SVM   RF   MLP   ATT-MLP   
  MCC AUC MCC AUC MCC AUC MCC AUC MCC AUC P
S1 0.41 0.63 0.34 0.69 0.58 0.74 0.50 0.71 0.67 0.79 <.001
S2 0.53 0.70 0.38 0.72 0.65 0.74 0.50 0.72 0.69 0.79 <.001
S3 0.34 0.64 0.32 0.68 0.63 0.75 0.47 0.73 0.62 0.74 <.001
S4 0.55 0.76 0.40 0.73 0.68 0.78 0.61 0.74 0.71 0.82 <.001
S5 0.28 0.60 0.37 0.72 0.60 0.73 0.27 0.70 0.68 0.78 <.001
S6 0.49 0.68 0.44 0.75 0.67 0.80 0.40 0.74 0.63 0.76 <.001
S7 0.51 0.71 0.47 0.74 0.56 0.83 0.51 0.76 0.73 0.84 <.001
Avg. 0.44 0.68 0.39 0.72 0.62 0.77 0.47 0.73 0.67 0.79