Table 6.
Accuracy performance indicators for European universities’ co-publication prediction in Multidisciplinary Science.
Model | All | Exogenous | Endogenous |
---|---|---|---|
Best algorithm | GBM | RF | GBM |
ROC | 0.9418 | 0.9227 | 0.9357 |
Accuracy | 0.8654 | 0.8354 | 0.8644 |
95% CI | (0.8615, 0.8692) | (0.8312, 0.8396) | (0.8605, 0.8682) |
No information rate | 0.8171 | 0.8158 | 0.8120 |
P-value [Acc > NIR] | 0.0000 | 0.0000 | 0.0000 |
Sensitivity | 0.8659 | 0.8308 | 0.8687 |
Specificity | 0.8633 | 0.8560 | 0.8457 |
Pos pred value | 0.9659 | 0.9623 | 0.9605 |
Neg pred value | 0.5903 | 0.5332 | 0.5986 |
Prevalence | 0.8171 | 0.8158 | 0.8120 |
Detection rate | 0.7075 | 0.6778 | 0.7053 |
Detection prevalence | 0.7325 | 0.7043 | 0.7344 |
Balanced accuracy | 0.8646 | 0.8434 | 0.8572 |
Three models considered: with all, with only exogenous, and with only endogenous features.