ml_metrics 0.1.0

A lightweight and easy-to-use Dart library for evaluating machine learning models. Includes accuracy, precision, recall, F1 score, and confusion matrix for binary classification.

Changelog

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0.1.0 - 2025-07-13

Added

• Initial release of ml_metrics.
• Implemented accuracy, precision, recall, f1Score metrics.
• Added binaryConfusionMatrix function.
• Exported metrics via central ml_metrics.dart file.
• Included unit tests for all metric functions.
• Prepared documentation: README.md, LICENSE, and this CHANGELOG.md.

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[Unreleased]

Planned

• ROC AUC metric
• Multi-class support for metrics
• Visual confusion matrix builder
• Integration with ml_knn, ml_logistic_regression, etc.