## Introduction

probably contains tools to facilitate activities such as:

• Conversion of probabilities to discrete class predictions.

• Investigating and estimating optimal probability thresholds.

• Inclusion of equivocal zones where the probabilities are too uncertain to report a prediction.

## Installation

You can install probably from CRAN with:

install.packages("probably")

You can install the development version of probably from GitHub with:

devtools::install_github("topepo/probably")

## Examples

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.