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xgboost的全称是eXtreme Gradient Boosting，它是Gradient Boosting Machine的一个C++实现，并能够自动利用CPU的多线程进行并行，同时在算法上加以改进提高了精度。
Short-Term Electricity Demand Forecasting for New England Using a Hybrid Transformer-XGBoost Framework with Weather, Calendar, and COVID-19 Indicators
Arxiv
0+阅读 · 6月18日
LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data
Arxiv
0+阅读 · 6月17日
Machine Unlearning for the XGBoost Model with Network Intrusion Datasets
Arxiv
0+阅读 · 6月17日
Predictive Analytics in E-Commerce for CustomerBehavior Forecasting using hybrid Ret-DNN withXGBoost Model
Arxiv
0+阅读 · 6月16日
A Retrospective Benchmark of Spatiotemporal Covariates for Daily Active-Fire Detection in Cerrado Conservation Units
Arxiv
0+阅读 · 6月2日
Machine Learning-Based Bitcoin Trading Under Transaction Costs: Evidence From Walk-Forward Forecasting
Arxiv
0+阅读 · 5月19日
An Expanded Synthetic Conversation Dataset for Multi-Turn Smishing Detection
Arxiv
0+阅读 · 6月5日
Can Machine Learning Forecast Rice Yields in Data-Constrained Settings? Satellite Climate Data, National Crop Statistics, and Lessons from Sierra Leone
Arxiv
0+阅读 · 6月11日
Explainable AI-Driven Cyber Risk Analytics and Model Reliability Assessment for Intelligent Governance of U.S. Critical Infrastructure: An XGBoost and SHAP-Based Intrusion Detection Framework
Arxiv
0+阅读 · 6月4日
Social Determinants of Health and Fentanyl Overdose Mortality Across US Counties: An XGBoost and SHAP Analysis Identifying Silent Risk Counties and Treatment Deserts
Arxiv
0+阅读 · 5月6日
An Efficient Machine Learning-based Framework for Detection and Prevention of Frauds in Telecom Networks
Arxiv
0+阅读 · 5月17日
Reddit's Appetite: Predicting User Engagement with Nutritional Content
Arxiv
0+阅读 · 5月20日
Hybrid Kolmogorov-Arnold Network and XGBoost Framework for Week-Ahead Price Forecasting in Australia's National Electricity Market
Arxiv
0+阅读 · 5月21日
Investigating Gender Bias in Touch Biometrics
Arxiv
0+阅读 · 6月9日
Towards Trustworthy 6G Network Digital Twins: A Framework for Validating Counterfactual What-If Analysis in Edge Computing Resources
Arxiv
0+阅读 · 4月16日
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