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Automated model building and evaluation for data mining system

机译:数据挖掘系统的自动模型构建和评估

摘要

A method, system, and computer program product that automatically generates data mining models of adequate or even optimum quality in a way that reduces the need for user interaction and reduces the cost and improves the quality of model building. A method for automatically building and evaluating data mining models comprises the steps of receiving information specifying models to be built, generating a model setting array based on the information specifying models to be built, the model setting array including at least one model settings combination, preparing specified source data for training and testing each model to be built, for each model settings combination included in the model settings array, performing the steps of building a model based on the model settings combination, evaluating the built model, and outputting results of the model building and evaluation, selecting a model from among all the built models based on a selection criterion, and outputting the selected model.
机译:一种方法,系统和计算机程序产品,其以减少用户交互需求,降低成本和提高模型构建质量的方式自动生成足够或什至最佳质量的数据挖掘模型。一种用于自动建立和评估数据挖掘模型的方法,包括以下步骤:接收要建立的信息指定模型;基于要建立的信息指定模型生成模型设置阵列;模型设置阵列包括至少一个模型设置组合;准备指定的源数据,用于训练和测试要构建的每个模型,针对模型设置数组中包括的每个模型设置组合,执行基于模型设置组合构建模型,评估构建的模型以及输出模型结果的步骤建立和评估,基于选择标准从所有构建的模型中选择一个模型,然后输出选择的模型。

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