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A Classification Data Set for PLMPowerPoint Presentation

A Classification Data Set for PLM

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### A Classification Data Set for PLM

Information Theory of Learning

Sep. 15, 2005

(c) 2000-2005 SNU CSE Biointelligence Lab, http://bi.snu.ac.kr

Introduction to Data (1)

- Handwritten digits (0 ~ 9)
- From 32x32 bitmaps, non-overlapping 4x4 blocks are extracted.

(c) 2000-2005 SNU CSE Biointelligence Lab, http://bi.snu.ac.kr

Introduction to Data (2)

- # of on pixels are counted in each block. (Range: 0 ~ 16)
- If # > 1, otherwise 0
- Original 32x32 bitmap is reduced to 8x8 binary matrix.

(c) 2000-2005 SNU CSE Biointelligence Lab, http://bi.snu.ac.kr

Introduction to Data (3)

- Data
- train.txt: 3823 examples
- test.txt: 1797 examples

- Representation
- In the text files, each row consists of 64 binary values with its label attached at 65-th column.

- Class distribution

(c) 2000-2005 SNU CSE Biointelligence Lab, http://bi.snu.ac.kr

(c) 2000-2005 SNU CSE Biointelligence Lab, http://bi.snu.ac.kr

Preliminary Result http://bi.snu.ac.kr

- k-nn result (k = 3) on the test set
- Accuray: 93.10% (ratio of correctly classified)

a b c d e f g h i j <-- classified as

174 0 0 0 1 1 2 0 0 0 | a = 0

0 178 1 0 1 0 2 0 0 0 | b = 1

0 9 167 0 0 0 0 1 0 0 | c = 2

1 2 0 174 0 1 0 1 2 2 | d = 3

0 11 0 0 168 0 0 0 0 2 | e = 4

0 2 0 1 1 172 1 0 0 5 | f = 5

2 1 0 0 0 1 176 0 1 0 | g = 6

0 0 1 0 1 0 0 174 1 2 | h = 7

1 16 4 7 1 6 2 1 132 4 | i = 8

2 2 0 10 0 4 0 1 3 158 | j = 9

(c) 2000-2005 SNU CSE Biointelligence Lab, http://bi.snu.ac.kr

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