README.md

Steel Plates Faults Data Set

Parameter	Value
Data Set Characteristics	Multivariate
Attribute Characteristics	Integer, Real
Associated Tasks	Classification
Number of Instances	1941
Number of Attributes	27
Date Donated	2010-10-26
Source	UCI Machine Learning Repository
Dataset size	299KB

Source

Semeion, Research Center of Sciences of Communication, Via Sersale 117, 00128, Rome, Italy.
www.semeion.it

Data Set Information

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

Attribute Information

27 independent variables:

1. X_Minimum
2. X_Maximum
3. Y_Minimum
4. Y_Maximum
5. Pixels_Areas
6. X_Perimeter
7. Y_Perimeter
8. Sum_of_Luminosity
9. Minimum_of_Luminosity
10. Maximum_of_Luminosity
11. Length_of_Conveyer
12. TypeOfSteel_A300
13. TypeOfSteel_A400
14. Steel_Plate_Thickness
15. Edges_Index
16. Empty_Index
17. Square_Index
18. Outside_X_Index
19. Edges_X_Index
20. Edges_Y_Index
21. Outside_Global_Index
22. LogOfAreas
23. Log_X_Index
24. Log_Y_Index
25. Orientation_Index
26. Luminosity_Index
27. SigmoidOfAreas

References

• UCI: Database source link.

Citation Request:

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 2010 IEEE
2. M Buscema, MetaNet: The Theory of Independent Judges, in Substance Use & Misuse, 33(2), 439-461,1998