Steel Plates Faults
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
Name | Role | Type | Units | Missing Values |
---|---|---|---|---|
X_Minimum | Feature | Integer | - | No |
X_Maximum | Feature | Integer | - | No |
Y_Minimum | Feature | Integer | - | No |
Y_Maximum | Feature | Integer | - | No |
Pixels_Areas | Feature | Integer | - | No |
X_Perimeter | Feature | Integer | - | No |
Y_Perimeter | Feature | Integer | - | No |
Sum_of_Luminosity | Feature | Integer | - | No |
Maximum_of_Luminosity | Feature | Integer | - | No |
Length_of_Conveyer | Feature | Integer | - | No |
TypeOfSteel_A300 | Feature | Integer | - | No |
TypeOfSteel_A400 | Feature | Integer | - | No |
Steel_Plate_Thickness | Feature | Integer | - | No |
Edges_Index | Feature | Continuous | - | No |
Empty_Index | Feature | Continuous | - | No |
Square_Index | Feature | Continuous | - | No |
Outside_X_Index | Feature | Continuous | - | No |
Edges_X_Index | Feature | Continuous | - | No |
Edges_Y_Index | Feature | Continuous | - | No |
Outside_Global_Index | Feature | Continuous | - | No |
LogOfAreas | Feature | Continuous | - | No |
Log_X_Index | Feature | Continuous | - | No |
Log_Y_Index | Feature | Continuous | - | No |
Orientation_Index | Feature | Continuous | - | No |
Luminosity_Index | Feature | Continuous | - | No |
SigmoidOfAreas | Feature | Continuous | - | No |
Minimum_of_Luminosity | Feature | Integer | - | No |
Pastry | Target | Binary | - | No |
Z_Scratch | Target | Binary | - | No |
K_Scratch | Target | Binary | - | No |
Stains | Target | Binary | - | No |
Dirtiness | Target | Binary | - | No |
Bumps | Target | Binary | - | No |
Other_Faults | Target | Binary | - | No |
Introductory Paper
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