scikit-plot
An intuitive Python library that adds single-line plotting functions for scikit-learn and other machine learning objects.
What is scikit-plot?
Scikit-plot is a Python library that provides simple, one-line functions to create detailed visualizations for machine learning model evaluation. It solves the problem of tedious and repetitive plotting code by offering ready-made functions for common ML plots like ROC curves, precision-recall curves, and confusion matrices. The library integrates seamlessly with scikit-learn but works with any classifier that outputs predictions.
Data scientists and machine learning practitioners who use scikit-learn or similar frameworks and need to quickly visualize model performance for analysis or presentation.
Developers choose Scikit-plot because it dramatically reduces the boilerplate code needed for ML visualizations while maintaining flexibility. Its single-line functions produce publication-quality plots with aesthetic defaults, making it the quickest way to go from model evaluation to insightful visualizations.
Overview
An intuitive library to add plotting functionality to scikit-learn objects.
Use Cases
Best For
- Quickly generating ROC curves for multi-class classification problems
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