ml_metrics 0.1.0
ml_metrics: ^0.1.0 copied to clipboard
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 #
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 thisCHANGELOG.md
.
[Unreleased] #
Planned #
- ROC AUC metric
- Multi-class support for metrics
- Visual confusion matrix builder
- Integration with
ml_knn
,ml_logistic_regression
, etc.