idanmoradarthas/DataScienceUtils
Data Science Utils: Frequently Used Methods for Data Science
This tool helps data scientists and machine learning engineers analyze and visualize the performance of their predictive models. It takes your model's predictions and actual outcomes to generate detailed plots like confusion matrices, ROC curves, and learning curves. The output includes clear visualizations and performance metrics, helping you understand how well your models are performing and where they can be improved.
Use this if you need to quickly generate standard and advanced visualizations to evaluate your classification models and understand their behavior across different datasets or training sizes.
Not ideal if you are looking for advanced machine learning model training capabilities or deep interpretability methods beyond performance evaluation.
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37
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8
Language
Python
License
MIT
Category
Last pushed
Mar 26, 2026
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