Year: 2023
Type: article
Abstract: Deep learning has made great strides in the field of unstructured data such as text, images, and audio.However, in the case of tabular data analysis, machine learning algorithms such as ensemble methods are still better than deep learning.To keep up with the performance of machine learning algorithms with good predictive power, several deep learning methods for tabular data have been proposed recently.In this paper, we review the latest deep learning models for tabular data and compare the performances of these models using several datasets.In addition, we also compare the latest boosting methods to these deep learning methods and suggest the guidelines to the users, who analyze tabular datasets.In regression, machine learning methods are better than deep learning methods.But for the classification problems, deep learning methods perform better than the machine learning methods in some cases.
Authors: Yejin Hwang, Jongwoo Song
Institution: Ewha Womans University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4361275302