Evaluation of the five machine learning models in predicting probability of faculty promotion
| Model | Accuracy | Sensitivity | Specificity | F1 |
| LOOCV random forest | 0.64 | 0.79 | 0.60 | 0.50 |
| LOOCV logistic regression | 0.70 | 0.52 | 0.76 | 0.44 |
| LOOCV K nearest neighbours classification | 0.53 | 0.74 | 0.47 | 0.42 |
| LOOCV K nearest neighbours regression | 0.54 | 0.60 | 0.52 | 0.37 |
| LOOCV adaptive KNN | 0.75 | 0.41 | 0.85 | 0.43 |
KNN, K nearest neighbours; LOOCV, leave-one-out cross-validation.