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Predictor generation genetic algorithm

机译:预测生成遗传算法

摘要

A method of generating predictor rules using a genetic algorithm for predicting at least one target event associated with a given entity, the entity having a combination of an entity type and one or more attributes. The method comprises partitioning records data into a model generation set and a model testing set. A first generation of predictor rules is determined using the records in the model generation set, and subsequent generations are constructed by iteratively identifying a first subset of predictor rules based on a precision measure of each predictor rule and identifying a second subset of predictor rules based on a recall measure of each predictor rule and generating the subsequent generation by OR combining the predictor rules of the first subset and by AND combining the predictor rules of the second subset. Construction of the predictor rule population is terminated in response to a termination criteria being met.
机译:一种使用遗传算法生成预测测量规则的方法,用于预测与给定实体相关联的至少一个目标事件,具有实体类型和一个或多个属性的组合的实体。 该方法包括将记录数据分区为模型生成集和模型测试集。 使用模型生成集中的记录确定第一代预测规则,并且通过基于每个预测器规则的精度测量来迭代地识别预测器规则的第一子集并基于基于的预测器规则的第二子集来构造后续几代。 召回每个预测器规则的测量和通过或组合第一子集的预测器规则以及组合第二子集的预测规则的后续生成。 终止终止标准终止预测指标规则群体的构建。

著录项

  • 公开/公告号US11151457B1

    专利类型

  • 公开/公告日2021-10-19

    原文格式PDF

  • 申请/专利权人 CASTLIGHT HEALTH INC.;

    申请/专利号US201715668678

  • 发明设计人 SOUBHIK DAWN;TED STUDLEY;

    申请日2017-08-03

  • 分类号G06N3/12;G06N7;G06N5/02;

  • 国家 US

  • 入库时间 2022-08-24 21:44:57

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