Table 2:

Data partitioning and modeling. Model A and Model B were constructed on the 1,505 subjects and 710 subjects, respectively. Performance of these models was evaluated after 10-fold cross validation. For radiologist review, we split the 710 cases in 70:15:15 ratio using stratified sampling. A new model was trained using 70% of the data and 15% of the data was used for internal validation. The remaining 15% was used for testing and radiologist review.

Model A (Unilateral knee pain)	10-Fold Cross Validation
	Training	Validation	Testing
n = 1505	90%	NA	10%
Model B (Unilateral knee pain, WOMAC pain difference ≥ 3)	10-Fold Cross Validation
	Training	Validation	Testing
n = 710	90%	NA	10%
For radiologist review	Stratified Sampling
	Training	Validation	Testing (for review)
n = 710	70% (496)	15% (107)	15% (107)
Percent female	59.2	62.0	60.1
Age (years)	61.0±9.3	60.5±9.0	6.06±9.1
BMI (kg/m2)	29.1±4.7	29.4±5.0	29.2±5.0