Research Highlights: Why Do Tree-based Models Still Outperform Deep Learning on Tabular Data?

Retrieved on: 2022-07-27 19:49:23

Tags for this article:

Machine learning

Academic disciplines

Artificial intelligence

Learning

Model selection

Artificial neural networks

Computational neuroscience

Hyperparameter

Deep learning

Training, validation, and test data sets

Click the tags to see associated articles and topics

Research Highlights: Why Do Tree-based Models Still Outperform Deep Learning on Tabular Data?. View article details on HISWAI: https://insidebigdata.com/2022/07/27/research-highlights-why-do-tree-based-models-still-outperform-deep-learning-on-tabular-data/

Excerpt

We contribute extensive benchmarks of standard and novel deep learning methods as well as tree-based models such as XGBoost and Random Forests, across ...

Article found on: insidebigdata.com

View Original Article