Table 6 Predictive results of the models built by removing one of the selected features
From: Protein-protein interface hot spots prediction based on a hybrid feature selection strategy
Feature removed | Accuracya | Specificity | Recall | Precision | F-measure |
|---|---|---|---|---|---|
BsRASA | 0.818/0.684 | 0.815/0.657 | 0.807/0.750 | 0.746/0.477 | 0.775/0.583 |
CNSV_REL1 | 0.786/0.632 | 0.783/0.582 | 0.790/0.750 | 0.710/0.429 | 0.748/0.545 |
DtASA 1/2 | 0.818/0.684 | 0.826/0.642 | 0.807/0.786 | 0.758/0.478 | 0.781/0.595 |
UpASA | 0.786/0.632 | 0.815/0.627 | 0.742/0.643 | 0.730/0.419 | 0.736/0.507 |
BtRASA | 0.805/0.705 | 0.837/0.672 | 0.758/0.786 | 0.758/0.500 | 0.758/0.611 |
B factor | 0.825/0.705 | 0.815/0.658 | 0.839/0.821 | 0.754/0.500 | 0.794/0.622 |