TINTOlib Benchmark Hub

TINTOlib provides a suite of vision-inspired baselines for tabular learning. This hub gathers curated benchmark results across regression, binary classification, and multiclass classification tasks using the new per-dataset data sources in _data/datasets/.

Explore the Results

• Regression Benchmarks
• Binary Classification Benchmarks
• Multiclass Classification Benchmarks

Dataset Coverage

Task	Datasets
Regression	2
Binary	2
Multiclass	2

How to Read the Reports

Each task page lists every dataset with:

1. Dataset information – core statistics plus links back to the original source.
2. Leaderboard – baseline tree models for quick reference.
3. Architecture sections – detailed metrics for TINTOlib transformations (ViT, CNN, hybrids, etc.).

Use these pages to compare architectures, check data characteristics, and identify promising starting points for new experiments.