Yimeng-Zhang / Rule_Extraction_from_TreesLinks
A toolkit for extracting comprehensible rules from tree-based algorithms
☆43Updated 7 years ago
Alternatives and similar repositories for Rule_Extraction_from_Trees
Users that are interested in Rule_Extraction_from_Trees are comparing it to the libraries listed below
Sorting:
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆255Updated 6 years ago
- This project is a research on how to extract rules from the existing data using trained Decision Tree. The dataset used to train the mode…☆16Updated 6 years ago
- 5th place solution for Kaggle competition Favorita Grocery Sales Forecasting☆261Updated 8 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆339Updated last year
- GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost☆37Updated 5 years ago
- mtgbmcode☆177Updated 3 years ago
- Features selector based on the self selected-algorithm, loss function and validation method☆680Updated 6 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆79Updated 11 months ago
- A High-level Scorecard Modeling API | 评分卡建模尽在于此☆82Updated 3 years ago
- 关于评分卡的基本流程☆68Updated 6 years ago
- [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架☆262Updated 2 years ago
- A practical feature engineering handbook☆332Updated 5 years ago
- ESC Team's credit scorecard tools.☆519Updated last month
- Tools for WoE Transformation mostly used in ScoreCard Model for credit rating☆256Updated 6 years ago
- Stacked Generalization (Ensemble Learning)☆230Updated 8 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆116Updated 3 years ago
- 根据GBDT衍生变量，并对衍生后的变量进行应用☆21Updated 5 years ago
- Address imbalance classes in machine learning projects.☆65Updated 7 years ago
- ☆15Updated 2 years ago
- Kaggle home credit default risk competition☆60Updated 7 years ago
- ☆169Updated 5 years ago
- 利用Encoder对二分类任务的序列数据进行概率预测☆51Updated 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…☆67Updated 5 years ago
- credit risk score card develop by python(version 3.6)☆40Updated 8 years ago
- A python package for feature selection in python☆51Updated 4 years ago
- Github开源项目hyperopt系列的中文文档,以及学习教程等☆163Updated 5 years ago
- ☆37Updated 5 years ago
- 国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)☆86Updated 7 years ago
- risk_model☆27Updated 3 years ago
- ☆42Updated 4 years ago