Table 3.
Performance indicators for evaluated prediction models (95% CI); NB = naive Bayes model, DT = decision tree model, EDT = ensemble of decision trees models, SVM = support vector machine model, IB1, IB10 = instance-based model with 1 and 10 nearest neighbors respectively
| Model | ||||||
|---|---|---|---|---|---|---|
| NB | DT | EDT | SVM | IB1 | IB10 | |
| AUC | 0.74 (0.73, 0.76) | 0.59 (0.57, 0.62) | 0.70 (0.68, 0.72) | 0.63 (0.61, 0.65) | 0.56 (0.54, 0.58) | 0.68 (0.66, 0.70) |
| Accuracy [%] | 68.0 (66.4, 69.6) | 60.9 (59.1, 62.7) | 64.1 (62.4, 65.8) | 59.2 (57.3, 61.1) | 56.3 (54.2, 58.3) | 63.6 (61.7, 65.4) |