Weighting model fit with ctree in party

March 15, 2010

(This article was first published on Heuristic Andrew » r-project, and kindly contributed to R-bloggers)

Conditional inference trees (ctree) in package party allows weighting which is useful when one classification outcome is more important than another. Useful examples are not difficult to imagine: in a marketing direct mailing, a false positive (non-response) costs just paper and postage (say, $0.50) while a true positive (response) may be worth $100.00. In a [...]

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