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116 lines
2.7 KiB
Plaintext
Executable File
116 lines
2.7 KiB
Plaintext
Executable File
1. Title of Database: Annealing Data
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2. Source Information: donated by David Sterling and Wray Buntine.
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3. Past Usage: unknown
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4. Relevant Information:
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-- Explanation: I suspect this was left by Ross Quinlan in 1987 at the
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4th Machine Learning Workshop. I'd have to check with Jeff Schlimmer
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to double check this.
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5. Number of Instances: 798
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6. Number of Attributes: 38
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-- 6 continuously-valued
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-- 3 integer-valued
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-- 29 nominal-valued
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7. Attribute Information:
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1. family: --,GB,GK,GS,TN,ZA,ZF,ZH,ZM,ZS
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2. product-type: C, H, G
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3. steel: -,R,A,U,K,M,S,W,V
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4. carbon: continuous
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5. hardness: continuous
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6. temper_rolling: -,T
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7. condition: -,S,A,X
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8. formability: -,1,2,3,4,5
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9. strength: continuous
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10. non-ageing: -,N
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11. surface-finish: P,M,-
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12. surface-quality: -,D,E,F,G
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13. enamelability: -,1,2,3,4,5
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14. bc: Y,-
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15. bf: Y,-
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16. bt: Y,-
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17. bw/me: B,M,-
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18. bl: Y,-
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19. m: Y,-
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20. chrom: C,-
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21. phos: P,-
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22. cbond: Y,-
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23. marvi: Y,-
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24. exptl: Y,-
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25. ferro: Y,-
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26. corr: Y,-
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27. blue/bright/varn/clean: B,R,V,C,-
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28. lustre: Y,-
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29. jurofm: Y,-
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30. s: Y,-
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31. p: Y,-
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32. shape: COIL, SHEET
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33. thick: continuous
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34. width: continuous
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35. len: continuous
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36. oil: -,Y,N
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37. bore: 0000,0500,0600,0760
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38. packing: -,1,2,3
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classes: 1,2,3,4,5,U
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-- The '-' values are actually 'not_applicable' values rather than
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'missing_values' (and so can be treated as legal discrete
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values rather than as showing the absence of a discrete value).
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8. Missing Attribute Values: Signified with "?"
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Attribute: Number of instances missing its value:
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1 0
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2 0
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3 70
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4 0
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5 0
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6 675
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7 271
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8 283
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9 0
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10 703
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11 790
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12 217
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13 785
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14 797
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15 680
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16 736
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17 609
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18 662
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19 798
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20 775
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21 791
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22 730
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23 798
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24 796
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25 772
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26 798
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27 793
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28 753
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29 798
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30 798
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31 798
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32 0
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33 0
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34 0
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35 0
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36 740
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37 0
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38 789
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39 0
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9. Distribution of Classes
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Class Name: Number of Instances:
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1 8
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2 88
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3 608
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4 0
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5 60
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U 34
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---
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798
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