{ "data_id": "41150", "name": "MiniBooNE", "exact_name": "MiniBooNE", "version": 1, "version_label": null, "description": "**Source:** [UCI](https:\/\/archive.ics.uci.edu\/ml\/datasets\/MiniBooNE+particle+identification#)\n\nByron Roe (byronroe '@' umich.edu)\nDepartment of Physics University of Michigan\nAnn Arbor, MI 48109\n\n\n**Data Set Information:**\n\nThis dataset is taken from the MiniBooNE experiment and is used to distinguish electron neutrinos (signal) from muon neutrinos (background).\n\nThis dataset is ordered. It first contains all signal observations, and then background observations.\n\n\n**Attribute Information:**\n\n50 particle ID variables (real) for each event.\n\n\n**Relevant Papers:**\n\nB. Roe et al., 'Boosted Decision Trees, an Alternative to Artificial Neural Networks' <[Web Link](https:\/\/arxiv.org\/abs\/physics\/0408124)>,\narXiv:physics\/0408124, Nucl. Instrum. Meth. 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