multiClassMetricsMeans: Get's overall evaluation metrics for a multiclass...
In wtcooper/modUtils: Collection of utils for model building and tuning.
Description
Adapted from code by Zach Meyer: http://www.r-bloggers.com/error-metrics-for-multi-class-problems-in-r-beyond-accuracy-and-kappa/
Usage
1
multiClassMetricsMeans(data, lev = NULL, model = NULL)
Arguments
data
data.frame with columns 'pred', 'obs' for predicted and observed labels, and a column for each class probability.
lev
caret summaryFunction optional parameter
model
caret summaryFunction optional parameter
wtcooper/modUtils documentation built on May 4, 2019, 11:59 a.m.
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Description
Adapted from code by Zach Meyer: http://www.r-bloggers.com/error-metrics-for-multi-class-problems-in-r-beyond-accuracy-and-kappa/
Usage
1 | multiClassMetricsMeans(data, lev = NULL, model = NULL)
|
Arguments
data |
data.frame with columns 'pred', 'obs' for predicted and observed labels, and a column for each class probability. |
lev |
caret summaryFunction optional parameter |
model |
caret summaryFunction optional parameter |
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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