论证过程专利名称：MACHINE LEARNING MODELS FOR
EVALUATING DIFFERENCES BETWEEN
GROUPS AND METHODS THEREOF
发明人：Ruoyu SHAO,Fenglin YAN,Vikramaditya
REPAKA
申请号：US16217808
申请日：20181212
成人高考语文作文公开号：US20200193321A1
公开日：
不足为训
表白短信20200618
专利内容由知识产权出版社提供
专利附图：
就国
护士简历模板免费下载摘要：Systems, methods, and computer readable media are disclod for generating,
modifying, and using machine learning models to predict and evaluate differences between groups. Methods disclod herein may include identifying variables that characterize members of a first group, generating shift indicators using the identified variables, generating a machine learning model using the shift indicators and the first group, using the machine learning model and the group to predict shifts between the first group and a predicted cond group, determining an aggregate population shift and an aggregate performance shift between the first group and an actual cond group, and identifying an impact of one or more of the shift indicators on the aggregate population shift or performance shift. Systems and methods disclod herein may be configured to receive requests to predict and evaluate differences between group, and to return such predictions and evaluations to one or more urs.
申请人：Capital One Services, LLC
性感女图片地址：McLean VA US
国籍：US
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