MiniBooNE

OpenML dataset with id 41150

Byron Roe

Full work available at URL: https://api.openml.org/data/v1/download/19335523/MiniBooNE.arff

Upload date: 15 August 2018
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: 130,064
Number of instances with missing values: 0
Number of missing values: 0

Description

Source: UCI

Byron Roe (byronroe '@' umich.edu) Department of Physics University of Michigan Ann Arbor, MI 48109

Data Set Information:

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.

Attribute Information:

50 particle ID variables (real) for each event.

Relevant Papers:

B. Roe et al., 'Boosted Decision Trees, an Alternative to Artificial Neural Networks' <Web Link>, arXiv:physics/0408124, Nucl. Instrum. Meth. A543, 577 (2005).

This page was built for dataset: MiniBooNE