jstephenj14 / Monotonic-WOE-Binning-AlgorithmLinks
Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard models (pip install monotonic-binning)
☆117Updated 2 years ago
Alternatives and similar repositories for Monotonic-WOE-Binning-Algorithm
Users that are interested in Monotonic-WOE-Binning-Algorithm are comparing it to the libraries listed below
Sorting:
- Tools for WoE Transformation mostly used in ScoreCard Model for credit rating☆255Updated 5 years ago
- ☆60Updated 6 years ago
- ☆136Updated 6 years ago
- GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost☆37Updated 5 years ago
- ☆51Updated 6 years ago
- Python implementation of the population stability index (PSI)☆140Updated last year
- Score card model for Credit Scoring System.☆117Updated 6 years ago
- scikit-learn compatible tools for building credit risk acceptance models☆100Updated 4 months ago
- credit risk score card develop by python(version 3.6)☆40Updated 7 years ago
- A re-creation of SAS varclus procedure in Python☆23Updated 6 years ago
- Kaggle home credit default risk competition☆58Updated 6 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆118Updated 2 years ago
- Weight of Evidence，基于iv值最大思想求最优分箱☆14Updated 5 years ago
- Scorecard Development in python, 评分卡☆751Updated 10 months ago
- Uplift modeling package.☆373Updated 2 years ago
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆480Updated 2 weeks ago
- Gradient boosting model for predicting credit default risk on Kaggle competition☆16Updated 4 years ago
- A Python package for variable clustering☆51Updated 4 years ago
- Public solution for AutoSeries competition☆72Updated 5 years ago
- Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in t…☆63Updated 4 years ago
- 2nd Place Solution 💰🥈☆222Updated 6 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆253Updated 5 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆153Updated 6 years ago
- 2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction☆155Updated 6 years ago
- data from the kaggle 'give me some credit" competition☆122Updated 8 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated 2 years ago
- Uplift modeling and evaluation library. Actively maintained pypi version.☆75Updated last year
- An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad☆105Updated 2 years ago
- A python package for feature selection in python☆51Updated 4 years ago
- A tour through recommendation algorithms in python [IN PROGRESS]☆177Updated 5 months ago