A suite of visual analysis and diagnostic tools to facilitate feature selection, model selection, and parameter tuning for machine learning.
- boxplots (box-and-whisker plots)
- violinplots
- histograms
- scatter plot matrices (sploms)
- radial visualizations (radviz)
- parallel coordinates
- jointplots
- diagonal correlation matrix
- ROC curves
- classification heatmaps
- prediction error plots
- residual plots
- validation curves
- gridsearch heatmap