Author: donated by David Sterling and Wray Buntine
Source: [original (UCI)](http://www.openml.org/d/2) -
Please cite:
This is a preprocessed version of the
anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good practice, this dataset is deactivated. Use version 1 instead
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: 898
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
10. non-ageing: -,N
11. surface-finish: P,M,-
12. surface-quality: -,D,E,F,G
13. enamelability: -,1,2,3,4,5
14. bc: Y,-
15. bf: Y,-
16. bt: Y,-
17. bw/me: B,M,-
18. bl: Y,-
19. m: Y,-
20. chrom: C,-
21. phos: P,-
22. cbond: Y,-
23. marvi: Y,-
24. exptl: Y,-
25. ferro: Y,-
26. corr: Y,-
27. blue/bright/varn/clean: B,R,V,C,-
28. lustre: Y,-
29. jurofm: Y,-
30. s: Y,-
31. p: Y,-
32. shape: COIL, SHEET
33. thick: continuous
34. width: continuous
35. len: continuous
36. oil: -,Y,N
37. bore: 0000,0500,0600,0760
38. 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).
8. 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
9. Distribution of Classes
Class Name: Number of Instances:
1 8
2 88
3 608
4 0
5 60
U 34
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798