Research Article
Development of Conformation Independent Computational Models for the Early Recognition of Breast Cancer Resistance Protein Substrates
Table 2
Features of the best individual model (Model 1) and the best ensembles selected.
| Model/ensemble | AUC ROC curve training set | AUC ROC curve test set | Sp training set* | Se training set* | Overall accuracy training set* | Sp test set* | Se test set* | Overall accuracy test set* |
| Model 1 | 0.796 | 0.748 | 78.8% | 68.3% | 74% | 63.4% | 74% | 66% | Ensemble 1 | 0.850 | 0.785 | 83.5% | 74.7% | 79% | 70.4% | 74% | 71.4% | Ensemble 2 | 0.902 | 0.804 | 84.7% | 79.7% | 82% | 76% | 70.4% | 74.5% |
|
|
*Considering zero as a cutoff value between substrates and non-substrates.
|