I was trying to do out-of-sample prediction using the gof function from package btergm. When calculating the AUC value of a precision-recall curve from the testing set, I get the result of 1.012909, which seems to be theoretically impossible.
How can I interpret the result, or am I doing something wrong. Thank you! Here is my code:
network <- readRDS(url("https://www.dropbox.com/s/zxhqxa8h9awkzpd/network.rds?dl=1"))
model.3<- btergm(network[1:9]~edges+gwodegree(1, fixed=TRUE)+transitiveties + ctriple +
gwidegree(1, fixed=TRUE)+mutual+gwesp(1.5, fixed=TRUE)+ttriple+
memory(type="stability")+delrecip,R=1000)
gof.3 <-gof(model.3, nsim = 1000,target=network[[10]],formula = network[9:10]~edges+gwodegree(1,fixed=TRUE) +
transitiveties + ctriple +gwidegree(1,fixed=TRUE)+mutual+gwesp(1.5, fixed=TRUE)+ttriple+
memory(type="stability")+delrecip,coef = coef(model.3),
statistics = rocpr)
gof.3[[1]]$auc.pr
