Metadata-Version: 2.1
Name: EMP-PY
Version: 0.0.1
Summary: Functions for estimating EMP (Expected Maximum Profit Measure) in Credit Risk Scoring and Customer Churn Prediction, according to Verbraken et al (2013, 2014) <DOI:10.1109/TKDE.2012.50>, <DOI:10.1016/j.ejor.2014.04.001>.
Home-page: https://github.com/Banking-Analytics-Lab/EMP-Py
Author: Cristián Bravo
Author-email: cbravoro@uwo.ca
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE

# EMP-Py

EMP Python Package repository, currently at version 0.0.1.

Functions for estimating EMP (Expected Maximum Profit Measure) in Credit Risk Scoring and Customer Churn Prediction, according to Verbraken et al (2013, 2014).

## Installation

```python
pip install EMP
```

## Usage

```python
from EMP.metrics import empCreditScoring

scores = [0.34, 0.44, 0.67, 0.83]
classes = [0, 0, 1, 0]
k = 2

# By default will print and return output (no rounding)
empCreditScoring(scores, classes)

# Will only return output (no rounding)
empCreditScoring(scores, classes, print_output=False)

# Will only print output (no rounding)
empCreditScoring(scores, classes, return_output=False)

# Will print and return output with k decimal points
empCreditScoring(scores, classes, rounding=k)
```

The functions have been co-authored by Thomas Verbraken, Seppe van den Brucke and Cristián Bravo.


