193. University: Data in original (LISP-readable) form 大学：原（Lisp的可读形式）中的数据
194. UNIX User Data: This file contains 9 sets of sanitized user data drawn from the command histories of 8 UNIX computer users at Purdue over the course of up to 2 years.
UNIX用户数据：该文件包含9套消毒的用户在长达2年的，当然从8 UNIX计算机用户的命令历史数据绘制在普渡大学。
195. URL Reputation: Anonymized 120-day subset of the ICML-09 URL data containing 2.4 million examples and 3.2 million features.
URL的信誉：不具名的120天的ICML - 09的URL数据，含有240万的例子和320万功能的一个子集。
196. US Census Data (1990): The USCensus1990raw data set contains a one percent sample of the Public Use Microdata Samples (PUMS) person records drawn from the full 1990 census sample.
美国人口普查数据（1990年）：USCensus1990raw数据集包含一成市民使用微观数据（PUMS）人记录完整的1990年人口普查抽样抽样样品。
197. Volcanoes on Venus - JARtool experiment: The JARtool project was a pioneering effort to develop an automatic system for cataloging small volcanoes in the large set of Venus images returned by the Magellan spacecraft.
金星上的火山 - JARtool实验：JARtool项目是一项开创性的努力开发一个自动化系统编目在大麦哲伦飞船返回的金星图像设置的小火山。
198. Wall-Following Robot Navigation Data: The data were collected as the SCITOS G5 robot navigates through the room following the wall in a clockwise direction, for 4 rounds, using 24 ultrasound sensors arranged circularly around its 'waist'.
以下壁挂式机器人的导航数据：数据收集的SCITOS G5机器人的导航，通过房间下面的墙壁以顺时针方向，4轮，使用圆周围的“腰”，安排了24超声传感器。
199. Water Treatment Plant: Multiple classes predict plant state
水处理厂：多类预测植物状态
200. Waveform Database Generator (Version 1): CART book's waveform
domains
波形数据库生成器（版本1）：订购书的波形域
201. Waveform Database Generator (Version 2): CART book's waveform domains
波形数据库生成（第2版）：订购书的波形域
202. Wine: Using chemical analysis determine the origin of wines 葡萄酒：使用化学分析器判定葡萄酒的来源。
203. Wine Quality: Two datasets are included, related to red and white vinho verde wine samples, from the north of Portugal. The goal is to model wine quality based on physicochemical tests (see [Cortez et al., 2009], http://www3.dsi.uminho.pt/pcortez/wine/).
葡萄酒的质量：包括两个数据集，与来自葡萄牙北部的红与白葡萄酒样本样品相关。目标是通过物理化学检验，设计出葡萄酒的质量模型。
204. YearPredictionMSD: Prediction of the release year of a song from audio features. Songs are mostly western, commercial tracks ranging from 1922 to 2011, with a peak in the year 2000s.
年度预测MSD：从声音的特征里，预测一首歌曲的发行年份、歌曲大部来自西部的、从1922至2011年的商业性的音轨，在2000年到达顶峰。 205. Yeast: Predicting the Cellular Localization Sites of Proteins 酵母DataSet：预测蛋白质的细胞定位点。 206. Zoo: Artificial, 7 classes of animals 动物园DataSet：人工，其中类别的动物。