The use of 5 folds is convenient since the data set is small and contains just a few instances of the minority class-which ranges from 6.25% to 30.5% of the data.
the use of 4/5-th of the data for learning (and 1/5-th for testing) is more likely to yield well-learned attributes than smaller training proportions.