Confusion Matrix Toolset
Overview
Takes the outputs of a 'caret' confusion matrix and allows for the quick conversion of these list items to lists. The intended usage is to allow the tool to work with the outputs of machine learning classification models. This tool works with classification problems for binary and multi-classification problems and allows for the record level conversion of the confusion matrix outputs. This is useful, as it allows quick conversion of these objects for storage in database systems and to track ML model performance over time. Traditionally, this approach has been used for highlighting model representation and feature slippage.
Added functionality to allow the confusion matrix to be generated for different metrics, such as precision and recall, sensitivity and specificity and all the metrics combined, namely everything.
From NEWS.md in the release
Install
Health
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) binary_class_cm.Rd:19: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) binary_class_cm.Rd:20: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) binary_class_cm.Rd:21: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) binary_class_cm.Rd:22: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) multi_class_cm.Rd:19: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) multi_class_cm.Rd:20: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) multi_class_cm.Rd:21: Lost braces in \itemize; \value handles \item{}{} directly
checkRd: (-1) multi_class_cm.Rd:22: Lost braces in \itemize; \value handles \item{}{} directly- NOTE13 NOTE2026-06-09
- ERROR12 NOTE, 1 ERROR2026-06-08
- NOTE13 NOTE2026-05-02
- ERROR11 NOTE, 1 ERROR2026-04-25
- NOTE14 NOTE2026-03-10
Documentation
- Help pages
- 4
- Examples that run
- 75%3 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- ConfusionTableR HTML
Downloads
Dependencies
Installing ConfusionTableR adds 64 packages (34 with compiled code, 49 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.0.4Latest
- 1.0.32021-11-01 · diff ↗
- 1.0.2
- 1.0.12021-07-21
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-07-21
- Total releases
- 4 / 5 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 161 KB
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