proportion of 1s correctly classified = # of 1s in data that were predicted
as 1 / # of 1s in data
On Sat, Mar 14, 2009 at 4:47 PM, Kyle Marquardt <marquardtk at gmail.com>wrote:
Patrick,
Sorry to bother you, but I've been trying to post this question to the
listserve and it doesn't seem to be working; I'm kind of nervous about
submitting it again and again so I thought I'd send it to you:
We were looking over Professor King's notes (slide 39 of single equation
models), and were slightly confused regarding the ROC curve values: is the
percentage of correctly predicted y values (e.g. correctly predicted 1
values): 1) correctly predicted 1 values over total number of incidents, 2)
correctly predicted 1 values over actual number of 1 values, or 3) correctly
predicted 1 values over predicted number of 1 values?
Best,
Kyle
--
Patrick Lam
Department of Government and Institute for Quantitative Social Science,
Harvard University
http://www.people.fas.harvard.edu/~plam