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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
AGreat
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
Pandas, Matplotlib, Seaborn
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

85.1
Adoption
90
Quality
88
Freshness
80
Citations
75
Engagement
85

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