Skip to main content

Table 2 Comparison of the selected classifiers combined to the SMOTE filter using TSHS1, TSHS2, and TSHS3 (A) as well as TSMM1, TSMM2, and TSMM3 (B) for the respective stages. Each ML algorithm was tested for each TS through a 10-fold cross validation

From: Mirnacle: machine learning with SMOTE and random forest for improving selectivity in pre-miRNA ab initio prediction

Classifier 1st stage 2nd stage 3rd stage
  SN SL GM SN SL GM SN SL GM
(A) Results for TSHS1, TSHS2, and TSHS3:          
LibSVM 87.5 99.5 93.3 84.7 100 92 98.1 100 99.1
SMO 86.7 84 85.3 92.9 94.5 93.7 99.9 99.4 99.6
MLP 92.3 88.4 90.3 97.9 97 97.5 99.9 99.7 99.8
RF 97.8 97.7 97.8 98.7 99 98.8 100 99.7 99.8
(B) Results for TSMM1, TSMM2, and TSMM3:          
LibSVM 89.4 98.8 94 100 60.5 77.8 97.6 100 98.8
SMO 85.6 81.6 83.5 92 92.5 92.2 99.2 99 99.1
MLP 88.9 86.8 87.8 95.2 94.9 95.1 99.9 99.5 99.7
RF 96.4 94.6 95.5 97.8 97.9 97.8 99.8 99.6 99.7