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Generating two-class classification model for predicting chemical toxicity

机译:生成用于预测化学毒性的两类分类模型

摘要

A method includes: a) preparing as training data a sample set that contains a plurality of samples belonging to a first class and a plurality of samples belonging to a second class; b) generating, by performing discriminant analysis on the sample set, a first discriminant function having a high classification characteristic for the first class and a second discriminant function having a high classification characteristic for the second class; c) by classifying the sample set using the first and second discriminant functions, isolating any sample whose classification results by the first and second discriminant functions do not match; d) forming a new sample set by grouping together any sample thus isolated, and repeating b) and c) by using the new sample set; and e) causing d) to stop when the number of samples each of whose classification results do not match in c) has decreased to or below a predetermined value.
机译:一种方法包括:a)准备一个样本集作为训练数据,该样本集包含多个属于第一类的样本和多个属于第二类的样本; b)通过对样本集进行判别分析,生成对第一类具有高分类特征的第一判别函数和对第二类具有高分类特征的第二判别函数; c)通过使用第一和第二判别函数对样本集进行分类,隔离通过第一和第二判别函数进行分类结果不匹配的任何样本; d)通过将如此分离的任何样品分组在一起形成新的样品组,并使用新的样品组重复b)和c); e)当在c)中每个分类结果不匹配的样本数量减少到预定值以下时,使d)停止。

著录项

  • 公开/公告号US7725413B2

    专利类型

  • 公开/公告日2010-05-25

    原文格式PDF

  • 申请/专利权人 KOHTAROU YUTA;

    申请/专利号US20090453247

  • 发明设计人 KOHTAROU YUTA;

    申请日2009-05-04

  • 分类号G06F15/18;G06E1/00;

  • 国家 US

  • 入库时间 2022-08-21 18:49:50

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