Table 2 Classification results according to the Intensity and Inequality features
From: Constant state of change: engagement inequality in temporal dynamic networks
Classifier | Balancing | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|
| Â | Â | Avg.,Std | Avg.,Std | Avg.,Std | Avg.,Std |
KNN | Stratified fold | 0.83, 0.04 | 0.83, 0.03 | 0.85, 0.04 | 0.86, 0.01 |
KNN | Data multiplication | 0.87, 0.01 | 0.88, 0.01 | 0.87, 0.01 | 0.87, 0.01 |
Decision Tree | Stratified fold | 0.84, 0.03 | 0.84, 0.03 | 0.85, 0.02 | 0.85, 0.01 |
Decision Tree | Data multiplication | 0.90, 0.01 | 0.90, 0.01 | 0.90, 0.01 | 0.89, 0.01 |
Random Forest | Stratified fold | 0.86, 0.03 | 0.86, 0.03 | 0.87, 0.03 | 0.86, 0.03 |
Random Forest | Data multiplication | 0.95, 0.01 | 0.95, 0.01 | 0.95, 0.01 | 0.95, 0.01 |