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Fix: tuneThreshold - Minimization for measures needing maximization #2857

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Fix: tuneThreshold - Minimization for measures needing maximization #2857

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6 changes: 3 additions & 3 deletions R/tuneThreshold.R
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Original file line number Diff line number Diff line change
Expand Up @@ -53,7 +53,7 @@ tuneThreshold = function(pred, measure, task, model, nsub = 20L, control = list(
if (ttype == "multilabel" || k > 2) {
names(x) = cls
}
ifelse(measure$minimize, 1, -1) * performance(setThreshold(pred, x), measure, task, model, simpleaggr = TRUE)
ifelse(measure$minimize, 1, -1) * performance(setThreshold(pred, x), measure, task, model, simpleaggr = TRUE) # always a minimization
}

if (ttype == "multilabel" || k > 2L) {
Expand All @@ -68,9 +68,9 @@ tuneThreshold = function(pred, measure, task, model, nsub = 20L, control = list(
names(th) = cls
perf = or$value
} else { # classif with k = 2
or = optimizeSubInts(f = fitn, lower = 0, upper = 1, maximum = !measure$minimize, nsub = nsub)
or = optimizeSubInts(f = fitn, lower = 0, upper = 1, maximum = FALSE, nsub = nsub) # maximum = false, because callback makes it a minimization
th = or[[1]]
perf = or$objective
perf = ifelse(measure$minimize, 1, -1) * or$objective # flip sign if minimization for negative performance measure was done
}
return(list(th = th, perf = perf))
}