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学生贷款关系数据集

学生贷款关系数据集

Scene:

Social

Data Type:

N/A
所需积分:2 去赚积分?
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Data Preview ? 14K

    Data Structure ?

    *数据结构实际以真实数据为准

    Donor:

    Michael J. Pazzani
    University of California, Irvine
    Irvine, CA USA


    Data Set Information:

    The predicate no_payment_due/1 is true for those people who are not required to repay a student loan.  Auxiliary relations can be used to fully discriminate positive from negative instances of no_payment_due/1.  Closed world assumption applies to all auxiliary relations.


    Attribute Information:

    N/A


    Relevant Papers:

    Pazzani, M., & Brunk, C. (1991). Detecting and correcting errors in rule-based expert systems: an integration of empirical and explanation-based learning. Knowledge Acquisition, 3, 157-173.
    [Web link]



    Citation Request:

    Please refer to the Machine Learning Repository's citation policy

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