ml-evaluation
CommunityAssess ML model performance with metrics.
Authorsencersoylu
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Machine learning evaluation metrics to quantify and interpret model performance across classification and regression tasks.
Core Features & Use Cases
- Compute standard metrics (accuracy, precision, recall, F1, RMSE, MAE, R^2)
- Generate ROC-AUC, confusion matrices, and calibration plots
- Use cases: model validation, comparison, and performance reporting across domains
Quick Start
Apply the evaluation module to a trained model and generate a metrics report.
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: ml-evaluation Download link: https://github.com/sencersoylu/scholar-flow/archive/main.zip#ml-evaluation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.