Table 1.
Model | AUC | AP | ||
---|---|---|---|---|
LR | GBM | LR | GBM | |
Age, Sex, BMI | 0.65 (0.63–0.67) | 0.64 (0.63–0.66) | 0.53 (0.51–0.55) | 0.52 (0.49–0.54) |
Age, Sex, BMI, Injury, Surgery, WOMAC | 0.68 (0.66–0.69) | 0.68 (0.66–0.69) | 0.56 (0.53–0.58) | 0.56 (0.53–0.58) |
KL-grade | 0.73 (0.71–0.75) | — | 0.57 (0.55–0.58) | — |
Age, Sex, BMI, KL-grade | 0.75 (0.74–0.77) | 0.76 (0.74–0.77) | 0.61 (0.59–0.63) | 0.61 (0.59–0.63) |
Age, Sex, BMI, Injury, Surgery, WOMAC, KL-grade | 0.75 (0.74, 0.77) | 0.76 (0.75–0.78) | 0.62 (0.60–0.64) | 0.63 (0.61–0.65) |
Top performing models are underlined. 95% confidence intervals are reported in parentheses.
BMI – Body-Mass Index. WOMAC – Western Ontario and McMaster Universities Arthritis Index. KL-grade – Kellgren-Lawrence grade. AUC – Area Under the Receiver Operating Characteristic Curve. AP – Average Precision. LR – Logistic Regression. GBM – Gradient Boosting Machine.