Table 4 Performance results of different machine learning models for the E. coli simulated dataset
From: MAC-ErrorReads: machine learning-assisted classifier for filtering erroneous NGS reads
Metrics | Accuracy | Precision | Recall | F1-score | MCC | ROC | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
k-mer size | 7 | 9 | 11 | 13 | 15 | 7 | 9 | 11 | 13 | 15 | 7 | 9 | 11 | 13 | 15 | 7 | 9 | 11 | 13 | 15 | 11 | 11 |
SVM | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.99 | 0.99 |
RF | 0.99 | 1 | 1 | 1 | 1 | 0.99 | 1 | 1 | 1 | 1 | 0.99 | 1 | 1 | 1 | 1 | 0.99 | 1 | 1 | 1 | 1 | 0.99 | 0.99 |
LR | 0.99 | 1 | 1 |  ×  |  ×  | 0.99 | 1 | 1 |  ×  |  ×  | 0.99 | 1 | 1 |  ×  |  ×  | 0.99 | 1 | 1 |  ×  |  ×  | 0.99 | 0.99 |
NB | 0.97 | 0.98 | 1 | 1 | 1 | 0.97 | 0.98 | 1 | 1 | 1 | 0.97 | 0.98 | 1 | 1 | 1 | 0.97 | 0.98 | 1 | 1 | 1 | 0.99 | 0.99 |
XGBoost | 0.93 | 0.86 | 1 |  ×  |  ×  | 0.94 | 0.89 | 1 |  ×  |  ×  | 0.93 | 0.86 | 1 |  ×  |  ×  | 0.93 | 0.86 | 1 |  ×  |  ×  | 0.99 | 0.99 |