Bayesian ROC analysis toolkit
bayesianroc is a Python package written by Franz Mayr and André Carrington, for Bayesian analysis of ROC plots (including Binary Chance), over the whole plot or in a region of interest.
Please read 'Bayesian ROC Tookit Documentation.docx' from the Github page for details.
- BayesianROC: a subclass of DeepROC (from the Deep ROC Toolkit). It computes measures related to the Chance and Bayesian iso performance baselines and produces associated plots.
Example of Classification and Analysis
- Test_Binary_Chance.py: creates a BayesianROC object and performs classification and analysis. Questions are asked as input: you may hit enter to accept defaults, except it is recommended that you change the costs to see the effect of Binary Chance.
The package can be installed from PyPi:
pip install bayesianroc
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