steel-plates-fault

OpenML dataset with id 1504

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Full work available at URL: https://api.openml.org/data/v1/download/1592296/steel-plates-fault.arff

Upload date: 25 May 2015

Dataset Characteristics

Number of classes: 2
Number of features: 34 (numeric: 33, symbolic: 1 and in total binary: 1 )
Number of instances: 1,941
Number of instances with missing values: 0
Number of missing values: 0

Description

Author: Semeion, Research Center of Sciences of Communication, Rome, Italy. Source: UCI Please cite: Dataset provided by Semeion, Research Center of Sciences of Communication, Via Sersale 117, 00128, Rome, Italy.

Steel Plates Faults Data Set A dataset of steel plates' faults, classified into 7 different types. The goal was to train machine learning for automatic pattern recognition.

The dataset consists of 27 features describing each fault (location, size, ...) and 7 binary features indicating the type of fault (on of 7: Pastry, Z_Scratch, K_Scatch, Stains, Dirtiness, Bumps, Other_Faults). The latter is commonly used as a binary classification target ('common' or 'other' fault.)

Attribute Information

V1: X_Minimum
V2: X_Maximum
V3: Y_Minimum
V4: Y_Maximum
V5: Pixels_Areas
V6: X_Perimeter
V7: Y_Perimeter
V8: Sum_of_Luminosity
V9: Minimum_of_Luminosity
V10: Maximum_of_Luminosity
V11: Length_of_Conveyer
V12: TypeOfSteel_A300
V13: TypeOfSteel_A400
V14: Steel_Plate_Thickness
V15: Edges_Index
V16: Empty_Index
V17: Square_Index
V18: Outside_X_Index
V19: Edges_X_Index
V20: Edges_Y_Index
V21: Outside_Global_Index
V22: LogOfAreas
V23: Log_X_Index
V24: Log_Y_Index
V25: Orientation_Index
V26: Luminosity_Index
V27: SigmoidOfAreas
V28: Pastry
V29: Z_Scratch
V30: K_Scatch
V31: Stains
V32: Dirtiness
V33: Bumps
Class: Other_Faults

Relevant Papers

1.M Buscema, S Terzi, W Tastle, A New Meta-Classifier,in NAFIPS 2010, Toronto (CANADA),26-28 July 2010, 978-1-4244-7858-6/10 Â©2010 IEEE 2.M Buscema, MetaNet: The Theory of Independent Judges, in Substance Use & Misuse, 33(2), 439-461,1998

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