Pen-Based Recognition of Handwritten Digits data set 1: Description. A digit data base made by collecting 250 samples from 44 writers, using only (x, y) coordinate information represented as constant length feature vectors, which were resampled to 8 points per digit. 2: Type. Classification 3: Origin. Real world 4: Instances. 10992 5: Features. 16 6: Classes. 10 7: Missing values. No 8: Header. @relation penbased @Attribute At1 integer [0, 100] @Attribute At2 integer [0, 100] @Attribute At3 integer [0, 100] @Attribute At4 integer [0, 100] @Attribute At5 integer [0, 100] @Attribute At6 integer [0, 100] @Attribute At7 integer [0, 100] @Attribute At8 integer [0, 100] @Attribute At9 integer [0, 100] @Attribute At10 integer [0, 100] @Attribute At11 integer [0, 100] @Attribute At12 integer [0, 100] @Attribute At13 integer [0, 100] @Attribute At14 integer [0, 100] @Attribute At15 integer [0, 100] @Attribute At16 integer [0, 100] @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