Table 6.

CV score when varying the number of folds

Folds	2	3	5	10
Training samples	269	358	430	484
Logistic regression	0.916	0.926	0.929	0.922
Random forest classifier	0.929	0.937	0.926	0.931
K-Neighbors classifier	0.898	0.896	0.888	0.889
SVC	0.920	0.926	0.920	0.924
Gaussian process classifier	0.914	0.924	0.926	0.917
AdaBoost classifier	0.918	0.931	0.914	0.926
XGB classifier	0.911	0.931	0.931	0.931