BinaryEvaluation often results in NaN for best F1-Scores

I then printed out all F1-Scores of the ConfusionMatrices-List, which looks as expected, but has some NaN at the end. Something like

Threshold: F1-Score
0.1: 0.1
0.2: 0.2
0.4: 0.3
0.5: 0.4
0.6: 0.3
0.8: 0.2
0.9: 0.1
0.99: NaN
0.999: NaN

It should pick 0.5 as best threshold.

The problem seems that NaN are also compared, and it seems like Double.compare(SomeNumber, NaN) = -1 and Double.compare(NaN, SomeNumber) = 1. Perhaps something like this would be better:

BinaryConfusionMatrix highestF1CM = eval.getConfusionMatrices().stream().filter(x -> Double.isFinite(x.getF1Score())).max(Comparator.comparingDouble(BinaryConfusionMatrix::getF1Score)).get();

Start by locating BinaryEvaluation and BinaryConfusionMatrix, then reproduce best-threshold selection with the reported confusion-matrix scores, including trailing NaN values. Done means the highest finite F1 score is selected rather than a NaN result; add or update coverage if an existing test location is found.