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Gradient boosting machine learning library
XGBoost (eXtreme Gradient Boosting) is an open-source software library which provides a regularizing gradient boosting framework for C++, Java, Python
XGBoost
Python library for parallel computing
is accomplished by spinning up an XGBoost scheduler in the same process running the Dask central scheduler and XGBoost worker in the same process running
Dask_(software)
Open-source software library developed by Yandex
best machine learning tools" in 2017. along with TensorFlow, Pytorch, XGBoost and 8 other libraries. Kaggle listed CatBoost as one of the most frequently
CatBoost
Microsoft open source gradient boosting framework for machine learning
algorithms including GBT, GBDT, GBRT, GBM, MART and RF. LightGBM has many of XGBoost's advantages, including sparse optimization, parallel training, multiple
LightGBM
Brazilian computer scientist
various popular machine learning libraries and methods, including the XGBoost library, the LIME technique for explainable machine learning, and the GraphLab
Carlos_Guestrin
Subset of artificial intelligence
TensorFlow Theano Torch / PyTorch / PyTorch Lightning Vowpal Wabbit Weka / MOA XGBoost Yooreeka KNIME RapidMiner Amazon Machine Learning Angoss KnowledgeSTUDIO
Machine_learning
Ensemble learning method
are many more recent algorithms such as LPBoost, TotalBoost, BrownBoost, xgboost, MadaBoost, LogitBoost, CatBoost and others. Many boosting algorithms fit
Boosting_(machine_learning)
Machine learning technique
interpretability, some model compression techniques allow transforming an XGBoost into a single "born-again" decision tree that approximates the same decision
Gradient_boosting
Weka — collection of machine learning algorithms for data mining tasks XGBoost — machine learning library for gradient boosting TPOT – tree-based pipeline
Lists of open-source artificial intelligence software
Lists_of_open-source_artificial_intelligence_software
General-purpose programming language
ThreadWeaver TinyXML Tkrzw VDPAU VTD-XML Windows Template Library wxWidgets x265 XGBoost C++ numerical libraries Adept Advanced Simulation Library ALGLIB Armadillo
C++
Open-source machine learning platform
runs distributed or non-distributed TensorFlow, PyTorch, Apache MXNet, XGBoost, and MPI training jobs on Kubernetes. The KServe component (previously
Kubeflow
AI Foundation model for tabular data
applications. In these benchmarks, Scaling Mode was compared with CatBoost, XGBoost, LightGBM, and TabPFN 2.5 using 50,000-row subsampling. The company stated
TabPFN
Internet platform for data science competitions
from the University of Washington also used Kaggle to show the power of XGBoost, which has since replaced Random Forest as one of the main methods used
Kaggle
Process of automating the application of machine learning
"A comparison of AutoML tools for machine learning, deep learning and XGBoost." 2021 International Joint Conference on Neural Networks (IJCNN). IEEE
Automated_machine_learning
Species of grain
Fuel Ethanol Fermentation Process by Integrating Biomass Concentration XGBoost Model and Kinetic Parameters Artificial Neural Network Model into Mechanism
Sorghum
Software company
clustering, Naive Bayes classification, random forest decision trees, XGBoost, and support vector machine regression and classification. It also allows
Vertica
Process of finding the optimal set of variables for a machine learning algorithm
Neural architecture search Meta-optimization Model selection Self-tuning XGBoost Optuna Matthias Feurer and Frank Hutter. Hyperparameter optimization. In:
Hyperparameter_optimization
Computer vision library
ThreadWeaver TinyXML Tkrzw VDPAU VTD-XML Windows Template Library wxWidgets x265 XGBoost C++ numerical libraries Adept Advanced Simulation Library ALGLIB Armadillo
OpenCV
Algorithmic technique in ecology
boosting machines (GBM) Random forest (RF) Support vector machines (SVM) XGBoost (XGB) Furthermore, ensemble models can be created from several model outputs
Species distribution modelling
Species_distribution_modelling
Object-oriented framework for software development
ThreadWeaver TinyXML Tkrzw VDPAU VTD-XML Windows Template Library wxWidgets x265 XGBoost C++ numerical libraries Adept Advanced Simulation Library ALGLIB Armadillo
Qt_(software)
Cold brown dwarf in the constellation Sagittarius
6–10.9 parsecs. It was discovered with the help of the python package XGBoost, using machine-learning algorithms and the CatWISE catalog, as well as
CWISEP_J1935−1546
Collection of C++ libraries
ThreadWeaver TinyXML Tkrzw VDPAU VTD-XML Windows Template Library wxWidgets x265 XGBoost C++ numerical libraries Adept Advanced Simulation Library ALGLIB Armadillo
Boost_(C++_libraries)
(toolbox) TensorFlow Theano Torch Tree-based pipeline optimization tool XGBoost Weka Wolfram Mathematica Examples of Data engineering tools. Apache Airflow
List_of_data_science_software
Hyperparameter optimization framework
Ignite PyTorch Lightning TensorBoard TensorFlow tf.keras Weights & Biases XGBoost skrub Moreover, Optuna offers a real-time dashboard that allows a user
Optuna
ThreadWeaver TinyXML Tkrzw VDPAU VTD-XML Windows Template Library wxWidgets x265 XGBoost C++ numerical libraries Adept Advanced Simulation Library ALGLIB Armadillo
Blitz++
Windows-platform based computer malware
machine learning classification models such as LightGBM, Random Forest, or XGBoost which base their predictions off the results of a feature extractor which
Dropper_(malware)
List of notable software written in or for the C++ programming language
wxWidgets — cross-platform GUI toolkit x265 — video encoding library for HEVC XGBoost — gradient boosting library Windows Template Library — Win32 development
List of C++ software and tools
List_of_C++_software_and_tools
R software and development tools
modeling, designed with tidyverse principles. torch — R interface to PyTorch xgboost — gradient boosting framework with R bindings covr — test coverage lintr
List_of_R_software_and_tools
List of concepts in artificial intelligence
videos that simulate realistic physical environments. XGBoost Short for eXtreme Gradient Boosting, XGBoost is an open-source software library which provides
Glossary of artificial intelligence
Glossary_of_artificial_intelligence
Numerical programming library for the Python programming language
64., 81., 100., 121.], [144., 169., 196., 225.]], dtype=float32) spaCy XGBoost turboSETI (Berkeley SETI) NVIDIA RAPIDS einops scikit-learn MONAI Chainer
CuPy
Overview of and topical guide to machine learning
lose–switch Witness set Wolfram Language Wolfram Mathematica Writer invariant Xgboost Yooreeka Zeroth (software) Trevor Hastie, Robert Tibshirani and Jerome
Outline_of_machine_learning
Python MIT Robot Operating System library C++, Python, Lisp Apache 2.0 XGBoost C++, Python, R Apache 2.0 Apache SINGA Python, C++ Apache 2.0 AppJar Python
List of open-source code libraries
List_of_open-source_code_libraries
Software library for the C++ programming language
ThreadWeaver TinyXML Tkrzw VDPAU VTD-XML Windows Template Library wxWidgets x265 XGBoost C++ numerical libraries Adept Advanced Simulation Library ALGLIB Armadillo
Standard_Template_Library
1993 Yes Cross-platform Java GUI, Java, command line Yes Yes No No No Yes XGBoost Tianqi Chen and contributors 2014 Yes Linux, macOS, Windows C++, Python
Comparison of machine learning software
Comparison_of_machine_learning_software
General purpose C++ library
ThreadWeaver TinyXML Tkrzw VDPAU VTD-XML Windows Template Library wxWidgets x265 XGBoost C++ numerical libraries Adept Advanced Simulation Library ALGLIB Armadillo
POCO_C++_Libraries
Collection of classes and functions used in the C++ programming language
ThreadWeaver TinyXML Tkrzw VDPAU VTD-XML Windows Template Library wxWidgets x265 XGBoost C++ numerical libraries Adept Advanced Simulation Library ALGLIB Armadillo
C++_Standard_Library
neighbors (k-NN), regular neural nets, and extreme gradient boosting (XGBoost) have low accuracies (ranging from 10% - 30%). The grayscale images and
Machine learning in earth sciences
Machine_learning_in_earth_sciences
Privacy-enhancing computing technique
Wenting (2020-11-09). "Secure Collaborative Training and Inference for XGBoost". Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning
Confidential_computing
Financial crime
(2026). "Explainable AI Framework for Credit Card Fraud Detection Using XGBoost, Deep Neural Networks and SHAP-Based Interpretability". papers.ssrn.com
Credit_card_fraud
Set of rules defining correctly structured C++ program
ThreadWeaver TinyXML Tkrzw VDPAU VTD-XML Windows Template Library wxWidgets x265 XGBoost C++ numerical libraries Adept Advanced Simulation Library ALGLIB Armadillo
C++_syntax
Use of machine learning to rank items
face images with the triplet metric via deep convolutional network. 2016 XGBoost pairwise Supports various ranking objectives and evaluation metrics. 2017
Learning_to_rank
Brown dwarf in the constellation Libra
CatWISE. The object was found using supervised machine-learning, by using XGBoost. The temperature was estimated to be lower than 381 Kelvin for this object
CWISEP_J1446−2317
Prediction of flooding in a specific area
Vector Machines (SVM), and tree-based algorithms like Random Forest or XGBoost. Hybrid models combine the strengths of physically-based and data-driven
Flood_forecasting
Face. Vowpal Wabbit — machine learning system for fast online learning. XGBoost — gradient boosting library. SGLang — high-performance serving framework
List_of_Python_software
Latvian computer scientist
Goldstein, E. (2022). Forecasting Detrended Volatility Risk Using LSTM and XGBoost. Journal of Risk and Financial Management. Raudys, S., Raudys, A., & Pabarskaitė
Aistis_Raudys
Programming language
ThreadWeaver TinyXML Tkrzw VDPAU VTD-XML Windows Template Library wxWidgets x265 XGBoost C++ numerical libraries Adept Advanced Simulation Library ALGLIB Armadillo
Outline of the C++ programming language
Outline_of_the_C++_programming_language
Cell-free DNA profiling method
developed software, that uses Fourier transforms and band-pass filters. XGBoost is utilized for classification on cancer subtype with using the features
EPIC-Seq
Professor of Statistics
Explanations (LIME) and SHapley Additive Explanations (SHAP), employing XGBoost to predict the default probability for Small and Medium Enterprises. The
Paolo_Giudici
XGBOOST
XGBOOST
XGBOOST
XGBOOST
Boy/Male
Arabic, Australian
Servant of the Opener of the Gates of Sustenance
Girl/Female
Arabic
Rose
Boy/Male
Indian
Treasure
Boy/Male
Hindu, Indian
Useful to All
Boy/Male
Afghan, Arabic, Hindu, Indian, Muslim
Proud; Excellent
Girl/Female
Celtic
Blessed.
Boy/Male
Australian, Hindu, Indian, Marathi
Brilliant
Boy/Male
Indian
Justice
Boy/Male
German, Teutonic
Noble Friend; Wise Ruler
Boy/Male
Muslim
Former name of the city of Medina
XGBOOST
XGBOOST
XGBOOST
XGBOOST
XGBOOST