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Tagged with bayes-optimal-classifier threshold
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How would you find a p threshold for a binary classification prediction? [duplicate]
Lets say that there's a binary classification problem where $X$ ∈ $R_p$ and $Y ∈ \{0,1\} $ and $Pr(Y = 1 | X = x) = p$ for $p$ in $[0,1]$. There is a loss function $L_{falseneg} > 0$ for false ...
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