Dexter

DEXTER is a text classification problem in a bag-of-word representation. This is a two-class classification problem with sparse continuous input variables. This dataset is one of five datasets of the NIPS 2003 feature selection challenge.

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額外的資訊

欄位
作者 MCI Machine Learning Repository
最後更新 九月 26, 2019, 23:16 (CST)
建立 九月 6, 2018, 16:41 (CST)
Area "N/A"
Associated Tasks "Classification"
Attribute Characteristics "Integer"
Data Set Characteristics "Multivariate"
Date Donated "2008-02-29"
Missing Values "N/A"
Number of Instances "2600"
Number of Web Hits "83653"
Number_of_Attributes "20000"