BoostARoota

Feature selector

An algorithm for fast feature selection using XGBoost and other tree-based classifiers

A fast xgboost feature selection algorithm

GitHub

219 stars
16 watching
38 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list

algorithmborutadata-sciencedatasciencedatascientistdimension-reductionfeature-selectionmachine-learningmachine-learning-algorithmsmachinelearningxgboostxgboost-algorithm

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
scikit-learn-contrib/boruta_py An implementation of a feature selection method to identify all relevant features for prediction 1,511
craigacp/feast A software toolbox for feature selection algorithms 69
jinlow/forust A package implementing a lightweight gradient boosted decision tree algorithm 67
ankane/xgboost-ruby High-performance machine learning library with a Ruby interface to XGBoost gradient boosting algorithm 105
jaswinder9051998/zoofs A Python library that performs feature selection using various nature-inspired optimization algorithms. 243
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. 409
jundongl/scikit-feature A repository of feature selection algorithms in Python for machine learning and data analysis. 1,508
catboost/benchmarks Comparative benchmarks of various machine learning algorithms 169
tqchen/xgboost An optimized distributed gradient boosting library for machine learning 571
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. 289
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