Summary

(No information yet)

License

unknown (from Weka repository)

Dependencies

Tags

arff slurped Weka

Attribute Types

Integer,Floating Point,String

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# Instances: 898 / # Attributes: 39
HDF5 (927.7 KB) XML CSV ARFF LibSVM Matlab Octave

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Original Data Format

arff

Name

anneal.ORIG

Version mldata

0

Comment

1. Title of Database: Annealing Data

2. Source Information: donated by David Sterling and Wray Buntine.

3. Past Usage: unknown

4. Relevant Information: -- Explanation: I suspect this was left by Ross Quinlan in 1987 at the 4th Machine Learning Workshop. I'd have to check with Jeff Schlimmer to double check this.

5. Number of Instances: 798

6. Number of Attributes: 38 -- 6 continuously-valued -- 3 integer-valued -- 29 nominal-valued

7. Attribute Information:

   1. family: --,GB,GK,GS,TN,ZA,ZF,ZH,ZM,ZS
   2. product-type: C, H, G
   3. steel: -,R,A,U,K,M,S,W,V
   4. carbon: continuous
   5. hardness: continuous
   6. temper_rolling: -,T
   7. condition: -,S,A,X
   8. formability: -,1,2,3,4,5
   9. strength: continuous

8. non-ageing: -,N

9. surface-finish: P,M,-

10. surface-quality: -,D,E,F,G

11. enamelability: -,1,2,3,4,5

12. bc: Y,-

13. bf: Y,-

14. bt: Y,-

15. bw/me: B,M,-

16. bl: Y,-

17. m: Y,-

18. chrom: C,-

19. phos: P,-

20. cbond: Y,-

21. marvi: Y,-

22. exptl: Y,-

23. ferro: Y,-

24. corr: Y,-

25. blue/bright/varn/clean: B,R,V,C,-

26. lustre: Y,-

27. jurofm: Y,-

28. s: Y,-

29. p: Y,-

30. shape: COIL, SHEET

31. thick: continuous

32. width: continuous

33. len: continuous

34. oil: -,Y,N

35. bore: 0000,0500,0600,0760

36. packing: -,1,2,3 classes: 1,2,3,4,5,U

-- The '-' values are actually 'not_applicable' values rather than 'missing_values' (and so can be treated as legal discrete values rather than as showing the absence of a discrete value).

1. Missing Attribute Values: Signified with "?" Attribute: Number of instances missing its value: 1 0 2 0 3 70 4 0 5 0 6 675 7 271 8 283 9 0 10 703 11 790 12 217 13 785 14 797 15 680 16 736 17 609 18 662 19 798 20 775 21 791 22 730 23 798 24 796 25 772 26 798 27 793 28 753 29 798 30 798 31 798 32 0 33 0 34 0 35 0 36 740 37 0 38 789 39 0

2. Distribution of Classes Class Name: Number of Instances: 1 8 2 88 3 608 4 0 5 60 U 34 --- 798

Names

family,product-type,steel,carbon,hardness,temper_rolling,condition,formability,strength,non-ageing,

Types

1. nominal:GB,GK,GS,TN,ZA,ZF,ZH,ZM,ZS
2. nominal:C,H,G
3. nominal:R,A,U,K,M,S,W,V
4. numeric
5. numeric
6. nominal:T
7. nominal:S,A,X
8. nominal:1,2,3,4,5
9. numeric
10. nominal:N

Data (first 10 data points)

family	prod...	steel	carbon	hard...	temp...	cond...	form...	stre...	non-...	...
nan	C	A	8	0	nan	S	nan	0	nan	...
nan	C	R	0	0	nan	S	2.0	0	nan	...
nan	C	R	0	0	nan	S	2.0	0	nan	...
nan	C	A	0	60	T	nan	nan	0	nan	...
nan	C	A	0	60	T	nan	nan	0	nan	...
nan	C	A	0	45	nan	S	nan	0	nan	...
nan	C	R	0	0	nan	S	2.0	0	nan	...
nan	C	A	0	0	nan	S	2.0	0	nan	...
nan	C	R	0	0	nan	S	2.0	0	nan	...
nan	C	A	0	0	nan	S	3.0	0	N	...
...	...	...	...	...	...	...	...	...	...	...

Description

A jarfile containing 37 classification problems, originally obtained from the UCI repository (datasets-UCI.jar, 1,190,961 Bytes).

URLs

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Publications

Data Source

http://www.ics.uci.edu/~mlearn/MLRepository.html

Measurement Details

Usage Scenario

revision 1

by mldata on 2010-11-06 09:57

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