Finally, we use standard data sets to test the classification results and the results are evaluated by precision, recall and F1.
最后，使用标准数据集对网页主题分类的效果进行了测试，并根据精确率、召回率和F1值对分类效果进行评价。
Aiming at the deficiency of evaluating classifier combination methods with standard data sets, a new classifier simulation algorithm was proposed.
针对标准数据集在评估多分类器系统的组合方法时存在的不足，设计了一种新的分类器模拟算法。
It is tested on the UCI standard data sets and compared with AIRS and the other classical classifiers. The aim is to research the performance of classifier based on artificial immune network.
在UCI标准数据集合上进行测试，与airs和其他传统分类器进行比较，目的是研究基于人工免疫网络原理的数据分类方法的性能。
Often a single form can be developed to collect standard sets of data from many different sources.
我们往往需要单独设计一个表单，以便从多个不同的来源收集标准数据集。
Data mining seeks to extract patterns from large sets of data using, among other things, statistical methods, artificial intelligence, and standard database management techniques.
数据挖掘旨在使用统计方法、人工智能和标准的数据库管理技术等等，从大型数据集中抽取模式。
Picking a standard is crucial to amassing a well-curated pile of data, but more than 100 widely used rule sets exist.
对于集合大量组织化数据来说，标准选择异常关键，但现在被广泛使用的规则集合有100多个。
It definitely sets a standard for transparency in data.
它在数据透明度方面绝对是树立了一个标准。
Some statisticians argue for a tougher standard of proof when researchers are fishing in large data sets.
一些统计学家认为，研究人员在分析大量数据时应该采取更为严格的证明标准。
Associates script lines with standard sets of tester-defined properties, such as Name, Compare Data, and links to attachments (which can opened within Manual tester).
脚本基线与测试者所规定的基本参数标准相结合，比如说：姓名、比较数据和超级链接(可以人工操作者在中打开的)。
Methods Using MI to fill in missing data and analyzing the multiply imputed data sets with standard statistical procedure, then combining the statistical inferences with MIANALYZE procedure.
方法用MI对缺失数据进行填补，用标准的统计程序对填补后的数据集分析，最后用多重填补分析综合各个数据集的统计分析结果。
Methods Using MI to fill in missing data and analyzing the multiply imputed data sets with standard statistical procedure, then combining the statistical inferences with MIANALYZE procedure.
方法用MI对缺失数据进行填补，用标准的统计程序对填补后的数据集分析，最后用多重填补分析综合各个数据集的统计分析结果。
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