A python module that provides a lean function
to create gain charts, lift charts for the
validation of classification algorithms.
It uses matplotlib.pylab and looks best with seaborn.set_style("whitegrid")
Also a score function is provided to score a gain chart or all gain charts of all classes of a classification problem.
This score function can be used as a scorer within sklearn functions like cross_val_score, GridSearch.
Features
- easy to call
- fits into the sklearn framework
- a gain chart includes neutral-curve, best-possible curve, actual gains curve
Project Samples
Follow Gains-Chart
Other Useful Business Software
Level Up Your Cyber Defense with External Threat Management
Move beyond alerts. Gain full visibility, context, and control over your external attack surface to stay ahead of every threat.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Gains-Chart!
