BoostARoota
Feature selector
An algorithm for fast feature selection using XGBoost and other tree-based classifiers
A fast xgboost feature selection algorithm
219 stars
16 watching
38 forks
Language: Python
last commit: over 5 years agoLinked from 1 awesome list
algorithmborutadata-sciencedatasciencedatascientistdimension-reductionfeature-selectionmachine-learningmachine-learning-algorithmsmachinelearningxgboostxgboost-algorithm
krzjoa/awesome-python-data-scienceRelated projects:
| Repository | Description | Stars |
|---|---|---|
 scikit-learn-contrib/boruta_py | An implementation of a feature selection method to identify all relevant features for prediction | 1,529 |
 craigacp/feast | A software toolbox for feature selection algorithms | 71 |
 jinlow/forust | A package implementing a lightweight gradient boosted decision tree algorithm | 68 |
 ankane/xgboost-ruby | High-performance machine learning library with a Ruby interface to XGBoost gradient boosting algorithm | 106 |
 jaswinder9051998/zoofs | A Python library that performs feature selection using various nature-inspired optimization algorithms. | 245 |
 springdaisy/gbdt | An implementation of Gradient Boosted Decision Trees with sparse output for high-dimensional data | 0 |
 epistasislab/scikit-rebate | An implementation of Relief-based feature selection algorithms for Machine Learning. | 413 |
 jundongl/scikit-feature | A collection of algorithms and tools for selecting the most informative features from datasets in machine learning applications. | 1,513 |
 catboost/benchmarks | Comparative benchmarks of various machine learning algorithms | 169 |
 tqchen/xgboost | An optimized distributed gradient boosting library for machine learning | 572 |
 lacava/few | Automates feature engineering by using genetic programming to select the most useful features for machine learning models. | 51 |
 dmlc/xgboost.jl | A Julia package implementing a distributed gradient boosting framework with efficient linear model solver and tree learning algorithms. | 288 |
 nuanio/xgboost-node | An interface to run XGBoost models in Node.js | 40 |
 manuel-calzolari/sklearn-genetic | A genetic feature selection tool for machine learning models | 323 |
 fanny-yang/earlystoppingrkhs | Code for analyzing early stopping in kernel boosting algorithms | 0 |