shuttle
OpenML dataset with id 40685
Author name not available (Why is that?)
Full work available at URL: https://api.openml.org/data/v1/download/4965262/shuttle.arff
Upload date: 6 April 2017
Dataset Characteristics
Number of classes: 7
Number of features: 10 (numeric: 9, symbolic: 1 and in total binary: 0 )
Number of instances: 58,000
Number of instances with missing values: 0
Number of missing values: 0
Source: UCI)
Donor:
Jason Catlett Basser Department of Computer Science, University of Sydney, N.S.W., Australia
Data Set Information:
Approximately 80% of the data belongs to class 1. Therefore the default accuracy is about 80%. The aim here is to obtain an accuracy of 99 - 99.9%.
The examples in the original dataset were in time order, and this time order could presumably be relevant in classification. However, this was not deemed relevant for StatLog purposes, so the order of the examples in the original dataset was randomised, and a portion of the original dataset removed for validation purposes.
Attribute Information:
The shuttle dataset contains 9 attributes all of which are numerical. The first one being time. The last column is the class which has been coded as follows : 1 Rad Flow 2 Fpv Close 3 Fpv Open 4 High 5 Bypass 6 Bpv Close 7 Bpv Open
Relevant Papers:
N/A
This page was built for dataset: shuttle
