Tabular Data Classification and Regression: XGBoost or Deep Learning With Retrieval-Augmented Generation

Tabular Data Classification and Regression: XGBoost or Deep Learning With Retrieval-Augmented Generation

Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) have gained popularity for their strong performance, while deep learning models such as Tabular Retrieval-Augme...

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Bibliographic Details
Main Authors: Jonindo Pasaribu, Novanto Yudistira, Wayan Firdaus Mahmudy
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning models
retrieval-augmented generation (RAG)
equilibrium
machine learning
TabNet
TabR
Online Access:https://ieeexplore.ieee.org/document/10802905/
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