Table 3 Predicting performance using SNA predictors by the end of course
3.1 Final Grade (Model accuracy 41.6%) | |
|---|---|
Parameter | Importance % |
Information centrality | 26.71 |
Eigenvector centrality | 21.27 |
Closeness centrality | 12.69 |
Eccentricity | 11.67 |
Out-degree | 9.1 |
In-degree | 6.62 |
Betweenness centrality | 6.48 |
Clustering | 5.45 |
3.2 Clinical results (Model accuracy 51.9%) | |
Parameter | Importance % |
Eigenvector centrality | 40.85 |
Clustering | 24.25 |
Betweenness centrality | 23.10 |
Closeness centrality | 3.41 |
Eccentricity | 3.07 |
Out-degree | 2.82 |
Information centrality | 1.63 |
In-degree | 0.87 |
3.3 MCQ (Model accuracy 21.3%) | |
Parameter | Importance |
Eigenvector centrality | 39.62 |
Information centrality | 17.28 |
In-degree | 12.29 |
Out-degree | 10.22 |
Closeness centrality | 7.57 |
Clustering | 7.18 |
Betweenness centrality | 5.84 |