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.
annealing
A data frame with 798 observations on the following 39 variables.
family
product-type
steel
carbon
hardness
temper_rolling
condition
formability
strength
non-ageing
surface-finish
surface-quality
enamelability
bc
bf
bt
bw/me
bl
m
chrom
phos
cbond
marvi
exptl
ferro
corr
blue/bright/varn/clean
lustre
jurofm
s
p
shape
thick
width
len
oil
bore
packing
classes
David Sterling and Wray Buntine
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).
https://archive.ics.uci.edu/ml/machine-learning-databases/annealing/
https://archive.ics.uci.edu/ml/datasets/Annealing