The problem in the employed evaluation method is the
availability of sufficient data set to be divided as training data
and test data.This research employed the stratified tenfold
cross validation for the evaluation to overcome the limitation
of data availability [10].To implement this, the data were
divided into ten parts randomly in nearly the same size. Each
part was held out in turn and the nine-tenths were trained using
classification algorithms.