Table 6 Classification models results with prediction performance
From: Intelligent framework for diagnosis of frozen shoulder using cross sectional survey and case studies
Algorithm | Precision | AUC | Specificity | Sensitivity | Overall accuracy |
|---|---|---|---|---|---|
Logistic regression | 89.67 | 0.96 | 91.67 (0.9167) | 96.7 (0.967) | 95.1 |
Naïve bayes | 100 | 0.99 | 97.5 (0.975) | 100 (1) | 99.29 |
Random forest | 95 | 0.89 | 61.67 (0.6167) | 99.09 (0.9909) | 89.81 |