probably contains tools to facilitate activities such as:
Conversion of probabilities to discrete class predictions.
Investigating and estimating optimal probability thresholds.
Calibration assessments and remediation for classification and regression models.
Inclusion of equivocal zones where the probabilities are too uncertain to report a prediction.
You can install probably from CRAN with:
install.packages("probably")
You can install the development version of probably from GitHub with:
# install.packages("pak")
# pak::pak("tidymodels/probably")
install.packages("probably", repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org'))
Good places to look for examples of using probably are the vignettes.
vignette("equivocal-zones", "probably") discusses the new
class_pred class that probably provides for working with equivocal
zones.
vignette("where-to-use", "probably") discusses how probably fits in
with the rest of the tidymodels ecosystem, and provides an example of
optimizing class probability thresholds.
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