) or when a target
is surpassed (e.g. if a feature has a persistence target of 50%, then a
solution which
secures a 95% chance of persistence will accrue the same benefit as a
solution which secures a 50% chance of persistence). Furthermore, weights
can also be used to specify the relative importance of meeting targets
for specific features (see add_feature_weights())."><!-- mathjax --><script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js" integrity="sha256-nvJJv9wWKEm88qvoQl9ekL2J+k/