Data for: Tree-Based Space Partition and Merging Ensemble Learning Framework for Imbalanced Problems

In the experiment of imbalanced problems, 50 imbalanced data sets from the Knowledge Extraction based on Evolutionary Learning (KEEL: http://www.keel.es/) are used in this paper. Every data set is a 5x3 cell with 5 rows and 3 columns. Every row corresponds to the data in one fold of the 5-folds cross-validation. The first column is the training data of minority class. The second column is the training data of majority class. The last column is the testing data. For all detailed sample in corresponding element, the last column is the label.