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. 2022 Jul 18;14(14):3492. doi: 10.3390/cancers14143492

Table 3.

Comparative performance among different sampling strategies in predicting TMB group using LightGBM.

Method Sensitivity Specificity Precision Accuracy
ADASYN 0.72 ± 0.204 0.7571 ± 0.168 0.7010 ± 0.244 0.7449 ± 0.103
BorderlineSMOTE 0.8 ± 204 0.7143 ± 0.151 0.6573 ± 0.092 0.7462 ± 0.083
RandomOversampler 0.72 ± 0.219 0.8143 ± 0.148 0.7262 ± 0.129 0.7782 ± 0.127
RandomUndersampler 0.8 ± 0.4 0.7393 ± 0.15 0.6810 ± 0.169 0.7641 ± 0.069
SMOTE 0.8 ± 0.32 0.7714 ± 0.19 0.7219 ± 0.258 0.7808 ± 0.11
SVMSMOTE 0.76 ± 0.126 0.8107 ± 0.068 0.7952 ± 0.112 0.7936 ± 0.081

ADASYN: adaptive synthetic, SMOTE: synthetic minority oversampling technique.