Multiclass metrics of a confusion matrix

Given the confusion matrix finds the two or multiclass metrics such as precision, recall, F1-score, and others.
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Updated 31 Mar 2023

Introduction

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Given the confusion matrix finds the two or multiclass metrics such as precision, recall, F1-score, etc.

Confusion matrix
prec-recall

Function outputs:

Function Output Description
multiclass_metrics_common Precision
Recall
Accuracy
Specificity
F1score
multiclass_metrics_special Recall
Specificity
Precision
False positive rate
F1score
Matthews correlation coefficient
Kappa

Requirements

MATLAB

Feedback

Please rate and provide feedback for the further improvements.

Cite As

Preetham Manjunatha (2024). Multiclass metrics of a confusion matrix (https://github.com/preethamam/MultiClassMetrics-ConfusionMatrix/releases/tag/1.2.2), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2021b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.2.2.0

See release notes for this release on GitHub: https://github.com/preethamam/MultiClassMetrics-ConfusionMatrix/releases/tag/1.2.2

1.2.1

See release notes for this release on GitHub: https://github.com/preethamam/MultiClassMetrics-ConfusionMatrix/releases/tag/1.2.1

1.2.0

See release notes for this release on GitHub: https://github.com/preethamam/MultiClassMetrics-ConfusionMatrix/releases/tag/1.2.0

1.1.0

See release notes for this release on GitHub: https://github.com/preethamam/MultiClassMetrics-ConfusionMatrix/releases/tag/1.1.0

1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.