Table 6 Accuracy and AUC scores of the different algorithms on the fractal/non-fractal classification task, on the three datasets
From: Towards a better understanding of the characteristics of fractal networks
Decision tree | Random forest | XGBoost | |||||||
|---|---|---|---|---|---|---|---|---|---|
Model | Real | All | Model | Real | All | Model | Real | All | |
Accuracy | 0.97 | 0.86 | 0.90 | 0.95 | 0.91 | 0.95 | 0.95 | 0.86 | 0.95 |
AUC | 0.98 | 0.90 | 0.97 | 1.00 | 0.95 | 0.98 | 0.99 | 0.82 | 0.98 |