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

Gains-Chart All in one plot

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Registered

2018-01-30
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