Scikit-learn Model Evaluation Script
by Scikit-learn · open-source · Last verified 2026-04-10
A Python script leveraging scikit-learn to comprehensively evaluate machine learning models. It calculates various performance metrics (e.g., accuracy, precision, recall, F1-score, AUC) and generates visualizations (e.g., confusion matrices, ROC curves) to provide insights into model behavior and facilitate informed decision-making.
https://scikit-learn.org/stable/modules/model_evaluation.html ↗A
A—Great
Adoption: A+Quality: AFreshness: ACitations: B+Engagement: A
Specifications
- License
- BSD-3-Clause
- Pricing
- open-source
- Capabilities
- performance analysis, model comparison, hyperparameter tuning, error analysis
- Integrations
- Use Cases
- fraud detection, credit risk assessment, customer churn prediction, predictive maintenance
- API Available
- No
- Tags
- model evaluation, scikit-learn, machine learning, performance metrics, visualization
- Added
- 2026-04-10
- Completeness
- 100%
Index Score
85.1Adoption
90
Quality
88
Freshness
80
Citations
75
Engagement
85