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. 2022 Dec 24;149(1):247–261. doi: 10.1007/s00432-022-04545-6

Table 2.

The five ML models’ detailed diagnostic metrics on testing set

ML models LNM
status
Precision Recall F1-score Support Accuracy
MLP (−) 0.82 0.92 0.87 71 0.84
(+) 0.86 0.73 0.79 51
LightGBM (−) 0.81 0.92 0.86 71 0.83
(+) 0.86 0.71 0.77 51
SVM (−) 0.75 0.96 0.84 71 0.79
(+) 0.90 0.55 0.68 51
GBDT (−) 0.80 0.92 0.86 71 0.82
(+) 0.85 0.69 0.76 51
XGBoost (−) 0.84 0.93 0.88 71 0.85
(+) 0.88 0.75 0.81 51