Table 4 Predicting performance using SNA predictors that were calculated at midterm
4.1 Midterm results (Model accuracy 71.6%) | |
|---|---|
Parameter | Importance % |
Out-degree | 34.29 |
In-degree | 33.54 |
Eigenvector centrality | 14.17 |
Clustering | 13.17 |
Closeness centrality | 2.48 |
Betweenness centrality | 1.8 |
Information centrality | 0.55 |
4.2 Final Grade (Model accuracy 70%) | |
Parameter | Importance % |
Information centrality | 23.87 |
Eigenvector centrality | 17.65 |
In-degree | 15.35 |
Out-degree | 14.55 |
Closeness centrality | 13.3 |
Betweenness centrality | 9.73 |
Clustering | 5.55 |