The glass data set was analysed by Sean Kelly.
This is a purely numeric dataset containing roughly 200 glass samples with
information on amounts of various chemical elements in the samples and what
purpose the glass serves (window, headlight, tableware, etc.). For processing, the
numeric class assigned to each glass sample was treated as an enumerated type.
As all other data were numeric, it was easy to run all 9 available attribute ranking
methods on the data, and a custom semicircular museum was generated to display
all results.
Silicon, on the whole, seems to be the least important element related to a
glass’ function. Apart from that, each ranking method chose a decidedly different
list of important elements.
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