1. An oblique decision tree induction method based on evolutionary algorithms and statistical sampling techniques, comprising the steps of: reading the data; if necessary, sorting the data; evaluating a potential split of the data according to some criterion, determining an initial split of the data, determining the final split of the data using evolutionary algorithms and statistical sampling techniques, spliting the data, and combining multiple decision trees in ensembles.