annealing: Annealing

In tyluRp/ucimlr: UCI Machine Learning Repository

Description

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.

Usage

annealing

Format

A data frame with 798 observations on the following 39 variables.

1. family

2. product-type

3. steel

4. carbon

5. hardness

6. temper_rolling

7. condition

8. formability

9. strength

10. non-ageing

11. surface-finish

12. surface-quality

13. enamelability

14. bc

15. bf

16. bt

17. bw/me

18. bl

19. m

20. chrom

21. phos

22. cbond

23. marvi

24. exptl

25. ferro

26. corr

27. blue/bright/varn/clean

28. lustre

29. jurofm

30. s

31. p

32. shape

33. thick

34. width

35. len

36. oil

37. bore

38. packing

39. classes

Details

This dataset contains steel annealing data. 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).

Source

David Sterling and Wray Buntine

References

https://archive.ics.uci.edu/ml/machine-learning-databases/annealing/

https://archive.ics.uci.edu/ml/datasets/Annealing

tyluRp/ucimlr documentation built on Feb. 2, 2021, 6:51 a.m.