https://github.com/m-clark/confusionmatrix

Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯
https://github.com/m-clark/confusionmatrix

balanced-accuracy confusion-matrix dice-coefficient f1-score fallout false-discovery-rate false-negative-rate false-omission-rate false-positive-rate kappa negative-predictive-value peirce positive-predictive-value precision-recall rand sensitivity specificity tidy true-negative-rate true-positive-rate

Last synced: about 1 month ago
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Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯

• Host: GitHub
• URL: https://github.com/m-clark/confusionmatrix
• Owner: m-clark
• License: other
• Created: 2019-09-12T16:29:37.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-07-10T17:10:07.000Z (almost 5 years ago)
• Last Synced: 2025-04-30T07:53:53.537Z (about 1 month ago)
• Topics: balanced-accuracy, confusion-matrix, dice-coefficient, f1-score, fallout, false-discovery-rate, false-negative-rate, false-omission-rate, false-positive-rate, kappa, negative-predictive-value, peirce, positive-predictive-value, precision-recall, rand, sensitivity, specificity, tidy, true-negative-rate, true-positive-rate
• Language: R
• Homepage: https://m-clark.github.io/confusionMatrix/
• Size: 432 KB
• Stars: 11
• Watchers: 2
• Forks: 4
• Open Issues: 1
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

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README

        
---

output: 

  github_document

encoding: 'UTF-8'

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  fig.path = "man/figures/",

  comment = NA

)

```

[![R build status](https://github.com/m-clark/confusionMatrix/workflows/R-CMD-check/badge.svg)](https://github.com/m-clark/confusionMatrix/actions)

  [![Codecov test coverage](https://codecov.io/gh/m-clark/confusionMatrix/branch/master/graph/badge.svg)](https://codecov.io/gh/m-clark/confusionMatrix?branch=master)

  [![Lifecycle: maturing](https://img.shields.io/badge/lifecycle-experimental-blue.svg)](https://www.tidyverse.org/lifecycle/#experimental)

 

# confusionMatrix




Given predictions and a target variable, provide numerous statistics from the resulting confusion matrix. The goal is to provide a wealth of summary statistics that can be calculated from a single confusion matrix, and return **tidy** results with as few dependencies as possible.

```{r demo}

library(confusionMatrix)

p = sample(letters[1:2], 250, replace = T, prob = 1:2)

o = sample(letters[1:2], 250, replace = T, prob = 1:2)

result = confusion_matrix(

  prediction = p,

  target = o,

  return_table = TRUE

)

result

result$Accuracy$`Frequency Table`

```

```{r demo-longer}

result = confusion_matrix(

  prediction = p,

  target = o,

  longer = TRUE

)

result

```

### Installation

To install from GitHub the devtools package is required.

```{r eval=FALSE}

devtools::install_github('m-clark/confusionMatrix')

```