ds-utils-metrics
CommunityVisualize and evaluate ML model performance.
Authoridanmoradarthas
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Evaluate and visualize machine learning model performance using a cohesive set of metrics and plots, helping teams quickly diagnose issues and compare models.
Core Features & Use Cases
- Confusion matrix visualization and analysis to interpret misclassifications.
- ROC/PR curves and learning curves to assess discrimination and learning dynamics.
- Probability analysis and error analysis charts to understand calibration and prediction errors in real-world datasets.
- Seamless integration with sklearn-compatible models for quick diagnostics in data-science workflows.
Quick Start
Analyze a trained model by generating evaluation plots for confusion matrices, ROC/PR curves, learning curves, and error analyses.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ds-utils-metrics Download link: https://github.com/idanmoradarthas/DataScienceUtils/archive/main.zip#ds-utils-metrics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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