uci数据集大致情况翻译

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uci数据集大致情况翻译

来源:

/ml/datasets.html?format=&task=&att=&area=&numAtt=&n umIns=&type=&sort=nameUp&view=list

Table View List View 206 Data Sets

1. Abalone: Predict the age of abalone from physical measurements 鲍鱼DataSet:根据物理度量,预测鲍鱼的年龄。

2. Abscisic Acid Signaling Network: The objective is to determine the set of

boolean rules that describe the interactions of the nodes within this plant

signaling network. The dataset includes 300 separate boolean pseudodynamic simulations using an asynchronous update scheme.

目标是测定布尔值的度量集合,以描述植物的信号网路节点。该数据集包括了300个独立的布尔值形式的虚拟动态模拟值,使用了异步更新的架构。 3. Acute Inflammations: The data was created by a medical expert as a data set to test the expert system, which will perform the presumptive diagnosis of two diseases of the urinary system.

急性炎症DataSet:数据来源于一位医学专家的数据集,用以检测专家系统,可以推断出泌尿系统的两种疾病的诊断结果。

4. Adult: Predict whether income exceeds $50K/yr based on census data. Also known as \

成人DataSet:根据户口普查资料,预测收入是否能超过50000美元/年。通常也被称为“收入普查”数据集。 5. Annealing: Steel annealing data 退火DataSet:训练退火数据。

6. Anonymous Microsoft Web Data: Log of anonymous users of

; predict areas of the web site a user visited based on data on other areas the user visited.

匿名微软网络数据:微软网站的匿名用户记录;通过其他的用户访问区域数据,预测用户在web站点的访问区域。

7. Arcene: ARCENE's task is to distinguish cancer versus normal patterns from mass-spectrometric data. This is a two-class classification problem with

continuous input variables. This dataset is one of 5 datasets of the NIPS 2021 feature selection challenge.

ArceneDataSet:该数据集的任务是根据大量的观测数据,从正常的模式中辨别出癌症。这是一个根据不断输入的变量的二级分类问题。该数据集是从NIPS2021特征选择挑战比赛中的5个数据集之一。

8. Arrhythmia: Distinguish between the presence and absence of cardiac arrhythmia and classify it in one of the 16 groups.

心率失常DataSet:分辨是否出现心率失常,并将结果分类进16个组之一。 9. Artificial Characters: Dataset artificially generated by using first order theory which describes structure of ten capital letters of English alphabet 人为性状DataSet:通过使用第一次序理论(该理论可以描述出英语字母表的十个开头字母的结构),自动生成的数据集。

10. Audiology (Original): Nominal audiology dataset from Baylor 原始AudiologyDataSet:来自Baylor的标称型的audiology数据集。

11. Audiology (Standardized): Standardized version of the original audiology database

标准AudiologyDataSet:原始Audiology数据集的标准化版本。

12. Australian Sign Language signs: This data consists of sample of Auslan (Australian Sign Language) signs. Examples of 95 signs were collected from

five signers with a total of 6650 sign samples.

澳大利亚标记语言标记DataSet:这些数据包括了澳大利亚标记语言标记的样本。95个实例,均来自五个标识器,其中有6650个标记样本。

13. Australian Sign Language signs (High Quality): This data consists of sample of Auslan (Australian Sign Language) signs. 27 examples of each of 95 Auslan signs were captured from a native signer using high-quality position trackers

澳大利亚标记语言标记DataSet高品质版:该数据集包含了Auslan标记的样本。有27个实例,它们来自95个标记,这27个实例是使用高质量位置追踪器的当地标识器捕捉出来的。

14. Auto MPG: Revised from CMU StatLib library, data concerns city-cycle

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