five

Ranking Quality Measures for Adaptive Dataset Search

收藏
Figshare2017-12-13 更新2026-04-08 收录
下载链接:
https://figshare.com/articles/dataset/Ranking_Quality_Measures_for_Adaptive_Dataset_Search/5620651/1
下载链接
链接失效反馈
官方服务:
资源简介:
This repository contains performance measures of dataset ranking models.<br>- Usage: from Results/src run <i>Python results m<sub>1</sub> m<sub>2</sub> ...</i><br>such that <i>m<sub>i</sub></i> can be omitted, or be any element of the list of model labels ['bayesian-12C', 'bayesian-5L', 'bayesian-5L12C', 'cos-12C', 'cos-5L', 'cos-5L5C', 'j48-12C', 'j48-5L', 'j48-5L5C', 'jrip-12C', 'jrip-5L', 'jrip-5L5C', 'sn-12C', 'sn-5L', 'sn-5L12C']. Results of selected models will be plotted in a 2D line plot. If no model is provided all models will be listed.<br>
创建时间:
2017-12-13
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作