...丁网 法,在学习数据集 (Learning Data Set, LDS)上建立决策模型,归纳出决策规则, 然后将其应用到测试数据集(Testing Data Set, TDS)上进行分 类测试,并检验该决策模型的有效性。
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Actual benchmark testing of a particular algorithm of interest to you, using a representative data set, would tell you what you need to know.
使用典型的数据集对您感兴趣的特定算法真正进行一下基准测试会告诉您需要了解哪些内容。
You can thus deploy the same set of scripts from the testing data connection to the production data connection with a simple configuration name switch.
因此,从测试数据连接到产生数据连接,您都可以通过简单的配置名称切换部署相同的脚本集。
This article discusses how to make up a test data set so that it is large enough to be useful for testing and has the expected distribution of values and correlation between columns.
本文讨论了如何构建一个测试数据集,以使该数据集达到用于测试的规模,并且具有期望的值分布和列间相关性。
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