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. 2022 Aug 1;22:203. doi: 10.1186/s12911-022-01953-z

Table 3.

Mean (standard deviation) of performance metrics using the best 18 features selected by MRMR

Method Accuracy Recall Precision F1 AUC
TFNN 0.719 (0.033) 0.617 (0.074) 0.683 (0.046) 0.600 (0.050) 0.793 (0.039)
XGB 0.675 (0.027) 0.584 (0.053) 0.619 (0.033) 0.554 (0.039) 0.716 (0.034)
RF 0.740 (0.031) 0.581 (0.053) 0.744 (0.051) 0.606 (0.044) 0.800 (0.037)
SVM 0.731 (0.035) 0.590 (0.055) 0.719 (0.053) 0.601 (0.047) 0.800 (0.040)

Values in bold are the highest for a given metric across different methods