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    "name": "MiniBooNEparticleidentification",
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    "description": "**Author**: Byron Roe (byronroe '@' umich.edu)  Department of Physics University of Michigan  Ann Arbor\",\"MI 48109  \n**Source**: UCI  \n**Please cite**: Please refer to the Machine Learning Repository's citation policy  \n\nSource:\n\nByron Roe (byronroe '@' umich.edu) \nDepartment of Physics University of Michigan \nAnn Arbor, MI 48109\n\n\nData Set Information:\n\nThe submitted file is set up as follows. In the first line is the the number of signal events followed by the number of background events. The signal events come first, followed by the background events. Each line, after the first line has the 50 particle ID variables for one event.\n\n\nAttribute Information:\n\n50 particle ID variables (real) for each event.\n\n\nRelevant Papers:\n\nB. Roe et al., 'Boosted Decision Trees, an Alternative to Artificial Neural Networks' <[Web Link]>, \narXiv:physics\/0408124, Nucl. Instrum. Meth. A543, 577 (2005).\n\n\n\nCitation Request:\n\nPlease refer to the Machine Learning Repository's citation policy",
    "format": "ARFF",
    "uploader": "Hilda Fabiola Bernard",
    "uploader_id": 874,
    "visibility": "public",
    "creator": "\"Byron Roe (byronroe '@' umich.edu)  Department of Physics University of Michigan  Ann Arbor\",\"MI 48109\"",
    "contributor": null,
    "date": "2016-02-17 11:53:26",
    "update_comment": null,
    "last_update": "2016-02-17 11:53:26",
    "licence": "Public",
    "status": "in_preparation",
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    "url": "https:\/\/www.openml.org\/data\/download\/1798766\/phpSuzW5P",
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            "MiniBooNEparticleidentification",
            "Source: Byron Roe (byronroe '@' umich.edu) Department of Physics University of Michigan Ann Arbor, MI 48109 Data Set Information: The submitted file is set up as follows. In the first line is the the number of signal events followed by the number of background events. The signal events come first, followed by the background events. Each line, after the first line has the 50 particle ID variables for one event. Attribute Information: 50 particle ID variables (real) for each event. Relevant Papers "
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        "weight": 5
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