ML Repo

ML Repo provides curated classification and regression microbiome datasets to support benchmarking and development of machine learning models for human microbiome research.

Key Features:

• Curated Datasets: Hosts 33 curated classification and regression tasks derived from 15 published human microbiome studies.
• Benchmarking Support: Provides a diverse array of tasks and datasets for testing, validating, and refining machine learning algorithms on high-dimensional microbiome data.

Scientific Applications:

• Algorithm Benchmarking: Enables comparative evaluation and benchmarking of machine learning models on human microbiome classification and regression tasks.
• Algorithm Development: Facilitates development and validation of machine learning methods tailored to microbiome-derived high-dimensional datasets.
• Interdisciplinary Research: Supports collaboration between computational scientists and microbiome domain experts through shared curated tasks.

Methodology:

Careful selection and curation of microbiome datasets into representative classification and regression tasks.