Statlog (Shuttle)

The shuttle dataset contains 9 attributes all of which are numerical. Approximately 80% of the data belongs to class 1

Dataset Characteristics

Multivariate

Subject Area

Physics and Chemistry

Associated Tasks

Classification

Feature Type

Integer

# Instances

58000

# Features

7

Dataset Information

Additional 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.

Has Missing Values?

No

Variables Table

Variable NameRoleTypeDescriptionUnitsMissing Values
Rad FlowFeatureIntegerno
Fpv CloseFeatureIntegerno
Fpv OpenFeatureIntegerno
HighFeatureIntegerno
BypassFeatureIntegerno
Bpv CloseFeatureIntegerno
Bpv OpenFeatureIntegerno
classTargetIntegerno

0 to 8 of 8

Additional Variable 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

Baseline Model Performance

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