Table 5 Comparison of different classifiers based on the cross-validation results on the training datasets for the three species
From: m5CPred-SVM: a novel method for predicting m5C sites of RNA
Species | Classifiers | Sn (%) | Sp (%) | Pre (%) | Acc (%) | Mcc | F1score | AUROC |
|---|---|---|---|---|---|---|---|---|
H. Sapiens | SVM | 85.5 | 80.0 | 81.0 | 82.8 | 0.656 | 0.832 | 0.899 |
XGBoost | 82.5 | 79.5 | 80.1 | 81.0 | 0.620 | 0.813 | 0.879 | |
RF | 77.5 | 77.0 | 77.1 | 77.3 | 0.550 | 0.773 | 0.849 | |
KNN | 84.5 | 72.5 | 75.5 | 78.5 | 0.574 | 0.797 | 0.850 | |
Adaboost | 79.5 | 73.5 | 75.0 | 76.5 | 0.530 | 0.772 | 0.860 | |
DT | 68.0 | 65.0 | 66.1 | 66.5 | 0.330 | 0.670 | 0.678 | |
LR | 62.0 | 61.5 | 61.7 | 61.8 | 0.235 | 0.618 | 0.617 | |
M. musculus | SVM | 75.7 | 72.8 | 73.6 | 74.3 | 0.486 | 0.746 | 0.822 |
XGBoost | 76.1 | 73.6 | 74.3 | 74.9 | 0.498 | 0.752 | 0.823 | |
RF | 75.9 | 71.6 | 72.8 | 73.7 | 0.476 | 0.743 | 0.814 | |
KNN | 67.3 | 67.5 | 67.5 | 67.4 | 0.349 | 0.674 | 0.729 | |
Adaboost | 74.2 | 72.6 | 73.0 | 73.4 | 0.468 | 0.736 | 0.812 | |
DT | 62.6 | 62.3 | 62.4 | 62.5 | 0.250 | 0.630 | 0.615 | |
LR | 73.3 | 73.2 | 73.2 | 73.2 | 0.465 | 0.733 | 0.811 | |
A. thaliana | SVM | 68.1 | 75.5 | 73.5 | 71.8 | 0.437 | 0.707 | 0.782 |
XGBoost | 65.1 | 76.3 | 73.3 | 70.7 | 0.417 | 0.690 | 0.770 | |
RF | 66.1 | 76.8 | 74.1 | 71.5 | 0.432 | 0.699 | 0.778 | |
KNN | 58.0 | 78.6 | 73.1 | 68.3 | 0.375 | 0.647 | 0.734 | |
Adaboost | 65.2 | 74.2 | 71.6 | 69.7 | 0.395 | 0.683 | 0.756 | |
DT | 59.5 | 60.0 | 59.8 | 59.8 | 0.200 | 0.600 | 0.587 | |
LR | 64.4 | 69.8 | 68.1 | 67.1 | 0.342 | 0.662 | 0.730 |