The poll is closed, with votes as follows:
R^2 or MSE 21%
Lift or Gains 46%
True Alert
vs. False Alert Tradeoff 12%
PCC 12%
Other 8%
Broken down in another way:
Global error (R^2 or PCC): 33%
Ranked error (Lift, ROC): 58%
where ranked error means that one first sorts the scored records and then scores the model. The relative proportions of these two roughly correspond to what I see and use in consulting: probably about 75% of the time I used something like ROC or Lift to score models.
Thanks to those who voted.
Monday, March 12, 2007
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