duxuhao / Feature-Selection
Features selector based on the self selected-algorithm, loss function and validation method
☆675Updated 5 years ago
Alternatives and similar repositories for Feature-Selection:
Users that are interested in Feature-Selection are comparing it to the libraries listed below
- Stacked Generalization (Ensemble Learning)☆223Updated 7 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆314Updated last year
- Tools for WoE Transformation mostly used in ScoreCard Model for credit rating☆256Updated 5 years ago
- Automated feature engineering in Python with Featuretools☆516Updated 6 years ago
- Machine Learning Trick : GBDT_Feature Blending Stacking CascadeForest☆368Updated 7 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆249Updated 5 years ago
- Github开源项目hyperopt系列的中文文档,以及学习教程等☆163Updated 4 years ago
- ML-Ensemble – high performance ensemble learning☆847Updated last year
- a python code of applying GBDT+LR for CTR prediction☆330Updated 6 years ago
- Tutorial how to use xgboost☆181Updated 8 years ago
- ijcai-2018 top1 solution☆437Updated 6 years ago
- 5th place solution for Kaggle competition Favorita Grocery Sales Forecasting☆254Updated 7 years ago
- Kaggle | Web Traffic Forecasting 📈☆668Updated 7 years ago
- 马上AI全球挑战者大赛 rank 1st☆254Updated 6 years ago
- 复赛第二名单模型方案，没有特征选择没有调参LGB单模型857个特征☆684Updated 6 years ago
- A fast xgboost feature selection algorithm☆220Updated 3 years ago
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆648Updated 6 months ago
- (AAAI' 20) A Python Toolbox for Machine Learning Model Combination☆646Updated 2 years ago
- Tiny Gradient Boosting Tree☆321Updated 5 years ago
- This 2018 IJCAI alimama Top3 Code☆293Updated 6 years ago
- A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.☆416Updated 2 years ago
- Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.☆327Updated 4 years ago
- ☆192Updated 6 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- open-source feature selection repository in python☆1,523Updated 7 months ago
- xgboost Extension for Easy Ranking & TreeFeature☆124Updated 5 years ago
- mtgbmcode☆168Updated 2 years ago
- Feature Selection using Genetic Algorithm (DEAP Framework)☆368Updated last year
- GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost☆37Updated 4 years ago
- Open solution to the Home Credit Default Risk challenge☆458Updated 2 years ago