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©The Author(s) 2025.
World J Methodol. Dec 20, 2025; 15(4): 105493
Published online Dec 20, 2025. doi: 10.5662/wjm.v15.i4.105493
Published online Dec 20, 2025. doi: 10.5662/wjm.v15.i4.105493
Table 3 Sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and F-scores of the linear discriminant analysis model
| Parameter | Mean | 95%CI |
| Sensitivity | 29.6% | 23.6%-35.6% |
| Specificity | 80.8% | 77.2%-84.5% |
| Positive predictive value | 36.2% | 28.5%-43.9% |
| Negative predictive value | 77.6% | 74.7%-80.6% |
| Accuracy | 67.8% | 64.6%-70.9% |
| F1 score | 30.8% | - |
| F2 score | 29.7% | - |
- Citation: Musbahi O, Pouris K, Hadjixenophontos S, Al-Saadawi A, Soteriou I, Cobb JP, Jones GG. Machine learning for patient selection in corticosteroid decision making in knee osteoarthritis: A feasibility model. World J Methodol 2025; 15(4): 105493
- URL: https://www.wjgnet.com/2222-0682/full/v15/i4/105493.htm
- DOI: https://dx.doi.org/10.5662/wjm.v15.i4.105493