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8 votes

Decision rule as a hyper-parameter in LASSO

Start with the decision rule in its ideal sense. It represents the tradeoff of costs between false-positive and false-negative classifications. In that sense the decision rule isn't a function of the ...
EdM's user avatar
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2 votes

Is it possible to adjust a logistic regression model when the false positive rate is too high for observations belonging to a specific category?

If your classification model is based on a certain output variable surpassing a specific boundary, then you can adjust that output variable with a certain amount such that it changes the amount of ...
Sextus Empiricus's user avatar

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