Table 6.

Accuracy for each algorithm’s individual fold (k=10) in Feature Model 1.

Iteration	Linear regression	Random forest	AdaBoost
Fold 1	0.877	0.799	0.759
Fold 2	0.768	0.687	0.342
Fold 3	0.657	0.464	0.584
Fold 4	0.803	0.530	0.629
Fold 5	0.747	0.153	-0.696
Fold 6	0.733	0.553	0.766
Fold 7	0.804	0.628	0.652
Fold 8	0.035	-0.287	0.083
Fold 9	0.767	0.627	0.696
Fold 10	0.742	0.657	0.722