Attribute Information:

Attribute Listing:
   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).

Relevant Papers:

N/A

Papers That Cite This Data Set¹:

Qingping Tao Ph. D. MAKING EFFICIENT LEARNING ALGORITHMS WITH EXPonENTIALLY MANY FEATURES. Qingping Tao A DISSERTATION Faculty of The Graduate College University of Nebraska In Partial Fulfillment of Requirements. 2004.  [View Context].

Yuan Jiang and Zhi-Hua Zhou. Editing Training Data for kNN Classifiers with Neural Network Ensemble. ISNN (1). 2004.  [View Context].

Jihoon Yang and Rajesh Parekh and Vasant Honavar. DistAl: An inter-pattern distance-based constructive learning algorithm. Intell. Data Anal, 3. 1999.  [View Context].

Pedro Domingos. Knowledge Discovery Via Multiple Models. Intell. Data Anal, 2. 1998.  [View Context].

James J. Liu and James Tin and Yau Kwok. An Extended Genetic Rule Induction Algorithm. Department of Computer Science Wuhan University.  [View Context].

Zhi-Hua Zhou and Xu-Ying Liu. Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem.  [View Context].

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