getBalancedProbCut: Get's the probability cutoff for a binomial classification...
In wtcooper/modUtils: Collection of utils for model building and tuning.
Description
Get's the probability cutoff for a binomial classification
model that minimizes the difference between sensitivity and
specificity.
Usage
1
2
getBalancedProbCut(prob, obs, posLabel, negLabel, probSeq = seq(0.001, 0.999,
by = 0.001))
Arguments
prob
predicted probability
obs
observed labels
wtcooper/modUtils documentation built on May 4, 2019, 11:59 a.m.
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Description
Get's the probability cutoff for a binomial classification model that minimizes the difference between sensitivity and specificity.
Usage
1 2 | getBalancedProbCut(prob, obs, posLabel, negLabel, probSeq = seq(0.001, 0.999,
by = 0.001))
|
Arguments
prob |
predicted probability |
obs |
observed labels |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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