Table 1 Performance of classifiers in predicting active OPEN target sites
From: Predicting success of oligomerized pool engineering (OPEN) for zinc finger target site sequences
| Classifier |
Target site encoding | ROC AUC |
Correlation Coefficient | Accuracy % | Specificity+% | Sensitivity+% |
|---|---|---|---|---|---|---|
| Naïve Bayes |
ZiFOpT
(Sequence Identity) | 0.89 | 0.61 | 87 | 90 | 94 |
| Base Counts | 0.79 | 0.57 | 87 | 89 | 94 | |
| Positional Base Counts | 0.84 | 0.59 | 87 | 88 | 97 | |
| SVM | Sequence Identity | 0.76 | 0.48 | 84 | 86 | 95 |
| Base Counts | 0.78 | 0.54 | 85 | 89 | 92 | |
| Positional Base Counts | 0.84 | 0.63 | 88 | 90 | 95 |