anneal

OpenML dataset with id 42716

No author found.

Full work available at URL: https://api.openml.org/data/v1/download/1/anneal.arff

Upload date: 6 April 2014

Dataset Characteristics

Number of classes: 5
Number of features: 39 (numeric: 6, symbolic: 33 and in total binary: 19 )
Number of instances: 898
Number of instances with missing values: 0
Number of missing values: 0

Description

Author: donated by David Sterling and Wray Buntine Source: original (UCI) - Please cite:

This is a preprocessed version of the <a href="d/2">anneal</a> 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
                   ---
                   798

This page was built for dataset: anneal