> ML_DATASET // HIGGS-BOSON-DATASET_v1.0
HIGGS Machine Learning Dataset
UCI ML Repository / Baldi et al. (UC Irvine) · High Energy Physics · 11,000,000 rows, 28 kinematic features
High Energy PhysicsCC-BY-4.011,000,000 rows, 28 kinematic featuresopen
Dataset Profile & Characteristics
Label Type:Binary (Signal process vs Background)
Languages:en
License Tier:permissive-open-source
Modalities:tabular
Intended Use
- Large-scale tabular binary classification benchmarking
- GPU-accelerated tree vs neural network comparisons
Prohibited / Discouraged Use
- Non-physics domain modeling
Bias, Leakage & Privacy Risk Analysis
Privacy / Sensitive Data Risks:
Zero personal data; simulated particle physics collisions.
Known Bias:
Monte Carlo generator simulation artifacts.
Known Benchmark Leakage:
None; strictly controlled simulation kinematics.