MiniBooNE
OpenML dataset with id 44119
Byron Roe, Leo Grin
Full work available at URL: https://api.openml.org/data/v1/download/22103244/MiniBooNE.arff
Upload date: 5 July 2022
Copyright license: CC0
Dataset Characteristics
Number of classes: 2
Number of features: 51 (numeric: 50, symbolic: 1 and in total binary: 1 )
Number of instances: 72,998
Number of instances with missing values: 0
Number of missing values: 0
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "regression on numerical features" benchmark. Original description:
This dataset is taken from the MiniBooNE experiment and is used to distinguish electron neutrinos (signal) from muon neutrinos (background).
This dataset is ordered. It first contains all signal observations, and then background observations.
B. Roe et al., 'Boosted Decision Trees, an Alternative to Artificial Neural Networks'
arXiv:physics/0408124, Nucl. Instrum. Meth. A543, 577 (2005).
This page was built for dataset: MiniBooNE
