calc_mean_perf: Generic function to calculate mean performance curves for...
In SchlossLab/mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines
calc_mean_perf R Documentation
Generic function to calculate mean performance curves for multiple models
Description
Generic function to calculate mean performance curves for multiple models
Usage
calc_mean_perf(sensspec_dat, group_var = specificity, sum_var = sensitivity)
Arguments
sensspec_dat
data frame created by concatenating results of
calc_model_sensspec() for multiple models.
group_var
variable to group by (e.g. specificity or recall).
sum_var
variable to summarize (e.g. sensitivity or precision).
Value
data frame with mean & standard deviation of sum_var summarized over group_var
Author(s)
Courtney Armour
Kelly Sovacool
SchlossLab/mikropml documentation built on March 18, 2023, 6:29 a.m.
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| calc_mean_perf | R Documentation |
Generic function to calculate mean performance curves for multiple models
Description
Generic function to calculate mean performance curves for multiple models
Usage
calc_mean_perf(sensspec_dat, group_var = specificity, sum_var = sensitivity)
Arguments
sensspec_dat |
data frame created by concatenating results of
|
group_var |
variable to group by (e.g. specificity or recall). |
sum_var |
variable to summarize (e.g. sensitivity or precision). |
Value
data frame with mean & standard deviation of sum_var summarized over group_var
Author(s)
Courtney Armour
Kelly Sovacool
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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