deeproc
deeproc is a Python package written by André Carrington and Yusuf Sheikh, for in-depth analysis of ROC plots in multiple groups/regions or a single region of interest. It provides measures and plots which measure in a group: AUC (concordant partial AUC), the C statistic (partial C statistic), average sensitivity (partial AUC), average specificity (horizontal partial AUC) and other pre-test and post-test measures including average precision and inverse precision, also called average positive and negative predictive value.
Groups are contiguous regions of predicted risk or probability (e.g., ranges of FPR or TPR) or non-contiguous demographic groups or clinical groups/arms. Groups may be overlapping and not cover the whole ROC curve, or they may be mutually exclusive and perfectly cover the ROC curve.
Features
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Classes:
- SimpleROC
- FullROC
- DeepROC
- ConcordanceMatrixPlot
Installation
The package can be installed from PyPi:
pip install deeproc
1 maintainer
Metadata
1 maintainer
Release files for deeproc 1.0.17
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| deeproc-1.0.17.tar.gz | 42.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| deeproc-1.0.17-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 96.0 kB
Release files / deeproc-1.0.17.tar.gz
| Download URL | deeproc-1.0.17.tar.gz |
|---|---|
| Size | 42.4 kB |
| Tags | Source |
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Release files / deeproc-1.0.17-py3-none-any.whl
| Download URL | deeproc-1.0.17-py3-none-any.whl |
|---|---|
| Size | 53.6 kB |
| Tags | Python 3 |
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