Table 9 Best hybrid results for the LSTM model on the test set. The bold values show the best results
From: Machine learning-based approaches for ubiquitination site prediction in human proteins
Features | Metrics | Window size | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
PSSM | AAC | DPC | PCP | Accuracy | Macro precision | Macro recall | Macro-F1 | F1positive | MCC | |
– | – | – | – | 82.717 ± 0.917 | 0.57 ± 0.001 | 0.581 ± 0.011 | 0.574 ± 0.004 | 0.9 ± 0.003 | 0.396 | 77 |
■| – | – | – | 81.984 ± 2.028 | 0.572 ± 0.005 | 0.59 ± 0.023 | 0.576 ± 0.007 | 0.902 ± 0.005 | 0.402 | 45 |
– | ■| – | – | 82.036 ± 1.282 | 0.568 ± 0.001 | 0.583 ± 0.011 | 0.572 ± 0.003 | 0.896 ± 0.004 | 0.398 | 77 |
– | – | ■| – | 82.73 ± 0.008 | 0.566 ± 0.002 | 0.574 ± 0.005 | 0.569 ± 0.003 | 0.897 ± 0.003 | 0.396 | 99 |
– | – | – | ■| 82.006 ± 1.026 | 0.568 ± 0.003 | 0.584 ± 0.005 | 0.574 ± 0.002 | 0.901 ± 0.002 | 0.397 | 99 |
■| ■| ■| ■| 83.13 ± 0.658 | 0.567 ± 0.002 | 0.572 ± 0.007 | 0.569 ± 0.003 | 0.889 ± 0.002 | 0.395 | 77 |