Rankings Industries Companies Research Blog

Sign in List your company

ResearchFormerly WizWand

Papers Benchmarks Datasets Tasks

Research
Benchmarks
Classification on kidney-stones

Classification on kidney-stones

76.1AccuracyXGBoost

Updated 5mo ago

Evaluation results

Method	Links
XGBoost2025.03		76.1
LLM-FE2025.03		76.1

State-of-the-art paper

XGBoost

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers

Dataset

kidney-stones

Follow for updates

Join SOTA2 Contact

Related benchmarks

Classification on blood-transfusion (Accuracy)Classification on eucalyptus (Accuracy)Classification on pc1 (Accuracy)Regression on airfoil_self_noise (five-fold cross-validation, 10^0 scaling)Regression on bike 10^1 scaling (five-fold cross-validation)

Building an AI company?

Claim your profile, keep your facts current and see how buyers find you. Rankings are never paid for.

How rankings work List your company

Find AI companies and products for your business problem. Compare solutions and evidence by industry and task.

Explore

Rankings
Industries
Categories
Companies
Top AI companies

Read

Blog
Research
llms.txt

For AI companies

List your company
Claim a profile
Ranking badges

SOTA2 with AI

Claude connector
ChatGPT plugin
Tool reference
Connector privacy
Connector terms

SOTA2

Why SOTA2
How we rank
Contact

© 2026 SOTA2Built in Bellevue, USA