| 1. | Test data sets and evaluation of gene prediction programs on the rice genome
水稻基因组中预测基因的程序评估及测试数据集 |
| 2. | Before you build a model , you must randomly separate the prepared data into separate training and testing datasets
在生成模型之前，必须随机将已准备的数据分离到单独的定型数据集和测试数据集。 |
| 3. | I used test data sets broken up into medium and large individual documents , along with several collections of smaller documents
我使用了分解成中型和大型独立文档的测试数据集，以及一些更小文档的集合。 |
| 4. | You use the training dataset to build the model , and the testing dataset to test the accuracy of the model by creating prediction queries
您使用定型数据集生成模型，并通过创建预测查询来使用测试数据集测试模型的准确性。 |
| 5. | A lift chart is created by plotting the results of prediction queries from a testing dataset against known values for the predictable column that exist in the dataset
提升图是通过绘制针对测试数据集进行的预测查询的结果（根据测试数据集中存在的可预测列的已知值）而创建的。 |
| 6. | 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。 |
| 7. | Some open testing datasets and real gene microarray data are applied in experiments . the results have verified the feasibility and validity of the pica to get the gene microarray data and the advanced boosting algorithm for gene classification
经过对公开的测试数据集和真实的基因微阵列数据大量实验，证明了用部分独立分量分析方法获取基因微阵列数据及boosting改进算法进行基因模式分类的可行性和有效性，最终也完成了基因模式的识别任务。 |
| 8. | In addition , we designed a prototype system named r - dm , which based on rse algorithm model and id3 algorithm model , which completed the classification and prediction model of the rse algorithm and id3 algorithm . on this uniform flatform , we compared the rse algorithm and id3 algorithm by using the standard uci data sets
此外，我们设计了基于rse算法模型和id3算法模型的原型系统? r - dm ，该系统实现了rse算法和id3算法的分类模型和预测模型，在此统一的平台上，我们通过对uci提供的多个标准测试数据集进行测试，对rse算法和id3算法进行了分析比较。 |
