33 results for “topic:woe”
Scorecard Development in python, 评分卡
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
Scorecard Development in R, 评分卡
No description provided.
A High-level Scorecard Modeling API | 评分卡建模尽在于此
Landslide Susceptibility Assessment Tools - Project Manager Suite
Use Machine learning to build scorecard model
Official github repository for Aste Grf. Join discord server for new version and more info.
Weight of Evidence，基于iv值最大思想求最优分箱
数据分析
Monotone Weight Of Evidence Transformer and LogisticRegression model with scikit-learn API
Credit scoring modeling toolbox based on R
A python package for credit risk card.
Yet Another Score Card
This project demonstrates a machine learning solution for predicting diabetes based on user-provided health data. The application uses Streamlit for an interactive web interface and advanced interpretability tools like SHAP and permutation importance to explain model predictions.
Evaluative Skin Cancer (EvaSkan)
A general tool for Evaluative AI
Implementation of weight of evidence and Information value techniques using Python
This project is using tweepy Twitter API. In this, we can get tweets trends of the country or any specific location, 100 or more tweets of the specific hashtag and sentiment analysis of specific hashtag tweets.
In this project, task is to help banking organization to identify the right customers using predictive models. Using past data of the bank’s applicants, you need to determine the factors affecting credit risk, create strategies to mitigate the acquisition risk and assess the financial benefit of the project.
Classification models to predict 2-year serious delinquency risk using raw and WOE-transformed datasets with logistic regression and machine learning techniques.
No description provided.
Obtaining a probability of default for retail loan applicants by modelling.
This repo contains algorithms for data analysis required while building DL/ML models
Lead prediction case. Used GBM, RandomForest Linear Regression on H2O package
End-to-end solution for insurance fraud detection using WOE transformation and logistic regression scorecards. Includes preprocessing, model training, and a FastAPI service for real-time scoring with interpretable results.
woe credit
Weights of Evidence (WoE) and Frequency Ratio (FR) Scripts
Plugin for auto-calculation (no-code) for Weight of Evidence & Information Value (IV) in Dataiku DSS