Skip to main content

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>.

Project description

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

pip install EMP

Usage

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

EMP-PY-1.0.0.tar.gz (17.9 kB view details)

Uploaded Source

Built Distribution

EMP_PY-1.0.0-py3-none-any.whl (21.2 kB view details)

Uploaded Python 3

File details

Details for the file EMP-PY-1.0.0.tar.gz.

File metadata

  • Download URL: EMP-PY-1.0.0.tar.gz
  • Upload date:
  • Size: 17.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 CPython/3.10.0

File hashes

Hashes for EMP-PY-1.0.0.tar.gz
Algorithm Hash digest
SHA256 751176ae3055e8c6e49235a6076d73b11f2fd4eec7d084d7b08c671ae6cf0c1b
MD5 ee69e827d75f2fa14032007d2e787397
BLAKE2b-256 c0336a83f606c21f4914539339f1607ec5160c2ebf94a5a63d31773469018ad5

See more details on using hashes here.

File details

Details for the file EMP_PY-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: EMP_PY-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 21.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/0.0.0 CPython/3.10.0

File hashes

Hashes for EMP_PY-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f49abe979982d4bab679d15a018b8134a0205761415d20eaf580192f677d5047
MD5 c2f9f7a1973441118b892cf2aee4e190
BLAKE2b-256 9d45a4587d080d6a05a1c81ca6c2d3637f105e604fa6bddb5bc87ce4b8afc704

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page