Minority Class with Rectangular Shape (examples = 600, disturbance ratio = 50%, IR = 5) data set 1: Description. This is an artificial data set with 2 classes (the minority and the majority class) and 600 examples randomly and uniformly distributed in the two-dimensional space (both attributes were real-valued). The examples from the minority class are located inside rectangles following related works on small disjuncts. The borders of sub-regions in the minority class are disturbed increasing the ratio of borderline examples from the minority class subregions (the disturbance ratio) in 50%. 2: Type. Imbalanced 3: Origin. Laboratory 4: Instances. 600 5: Features. 2 6: Classes. 2 7: Missing values. No 8: IR: 5 9: Header. @relation 03subcl5-600-5-50-BI @attribute dim1 real [-84.0, 482.0] @attribute dim2 real [-281.0, 1483.0] @attribute class {0, 1} @inputs dim1, dim2 @outputs class