Table 7.

Accuracy for each algorithm’s individual fold (k=10) in Feature Model 2.

Iteration	Linear regression	Random forest	AdaBoost
Fold 1	0.774	0.796	0.679
Fold 2	0.595	0.457	0.485
Fold 3	0.946	0.907	0.882
Fold 4	0.602	0.622	0.551
Fold 5	0.833	0.869	0.824
Fold 6	0.780	0.776	0.720
Fold 7	0.627	0.636	0.626
Fold 8	0.850	0.659	0.536
Fold 9	0.780	0.794	0.851
Fold 10	0.844	0.594	0.629