bayesianroc
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.
Features
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Classes:
- 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.
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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.
Installation
The package can be installed from PyPi:
pip install bayesianroc
1 maintainer
Metadata
1 maintainer
Release files for bayesianroc 0.0.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bayesianroc-0.0.9.tar.gz | 27.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bayesianroc-0.0.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 63.9 kB
Release files / bayesianroc-0.0.9.tar.gz
| Download URL | bayesianroc-0.0.9.tar.gz |
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| Size | 27.5 kB |
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Release files / bayesianroc-0.0.9-py3-none-any.whl
| Download URL | bayesianroc-0.0.9-py3-none-any.whl |
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| Size | 36.4 kB |
| Tags | Python 3 |
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