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
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