UC Irvine
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Steel Plates Faults

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About

A dataset of steel plates’ faults, classified into 7 different types. The goal was to train machine learning for automatic pattern recognition. Type of dependent variables (7 Types of Steel Plates Faults): 1.Pastry 2.Z_Scratch 3.K_Scatch 4.Stains 5.Dirtiness 6.Bumps 7.Other_Faults
Subject Area
Physics and Chemistry
Instances
1,941
Features
27
Data Types
Multivariate
Tasks
Classification
Feature Types
Integer, Continuous

Features

NameRoleTypeUnitsMissing Values

Introductory Paper

Additional Metadata

Keywords
Authors
M Buscema
S Terzi
W Tastle
Year Created
2010
License
CC BY 4.0