Pen-Based Recognition of Handwritten Digits Multi-class Imbalanced data set

1: Description.

An imbalanced version of the Pen-Based Recognition of Handwritten Digits data set, where there are some classes with a small number of examples while other classes have a large number of examples.

2: Type.			Imbalanced	
3: Origin.			Real world
4: Instances.		1100
5: Features.		16
6: Classes.			10	
7: Missing values.	No
8: IR: 				1.95

9: Header.

@relation unknow
@attribute at1 real [0.0, 100.0]
@attribute at2 real [0.0, 100.0]
@attribute at3 real [0.0, 100.0]
@attribute at4 real [0.0, 100.0]
@attribute at5 real [0.0, 100.0]
@attribute at6 real [0.0, 100.0]
@attribute at7 real [0.0, 100.0]
@attribute at8 real [0.0, 100.0]
@attribute at9 real [0.0, 100.0]
@attribute at10 real [0.0, 100.0]
@attribute at11 real [0.0, 100.0]
@attribute at12 real [0.0, 100.0]
@attribute at13 real [0.0, 100.0]
@attribute at14 real [0.0, 100.0]
@attribute at15 real [0.0, 100.0]
@attribute at16 real [0.0, 100.0]
@attribute class {0, 1, 2, 3, 4, 5, 6, 7, 8, 9}
@inputs at1, at2, at3, at4, at5, at6, at7, at8, at9, at10, at11, at12, at13, at14, at15, at16
@outputs class