Yellowbrick

A suite of visual analysis and diagnostic tools to facilitate feature selection, model selection, and parameter tuning for machine learning.

Tools for feature analysis and selection

• boxplots (box-and-whisker plots)
• violinplots
• histograms
• scatter plot matrices (sploms)
• radial visualizations (radviz)
• parallel coordinates
• jointplots
• diagonal correlation matrix

Tools for model evaluation

Classification

• ROC curves
• classification heatmaps

Regression

• prediction error plots
• residual plots

Tools for parameter tuning

• validation curves
• gridsearch heatmap