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Confusion matrix of the ordinal logistic regression model for differentiating mild, moderate and severe patients.
| Severity | Mild | Moderate | Severe | Total real |
|---|---|---|---|---|
| Mild | 12 | 4 | 0 | 16 |
| Moderate | 4 | 12 | 4 | 20 |
| Severe | 2 | 5 | 7 | 14 |
The model predicts 12 mild severity patients vs. 16 real mild severity patients; 12 moderate patients vs. 20 real and 7 severe patients vs. 14 real, showing an accuracy of 62%.
