LED Display Domain
Donated on 11/9/1988
From Classification and Regression Trees book; We provide here 2 C programs for generating sample databases
Dataset Characteristics
Multivariate, Data-Generator
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Categorical
# Instances
-
# Features
7
Dataset Information
Additional Information
This simple domain contains 7 Boolean attributes and 10 concepts, the set of decimal digits. Recall that LED displays contain 7 light-emitting diodes -- hence the reason for 7 attributes. The problem would be easy if not for the introduction of noise. In this case, each attribute value has the 10% probability of having its value inverted. It's valuable to know the optimal Bayes rate for these databases. In this case, the misclassification rate is 26% (74% classification accuracy).
Has Missing Values?
No
Variables Table
Variable Name | Role | Type | Description | Units | Missing Values |
---|---|---|---|---|---|
Attribute1 | Feature | Binary | no | ||
Attribute2 | Feature | Binary | no | ||
Attribute3 | Feature | Binary | no | ||
Attribute4 | Feature | Binary | no | ||
Attribute5 | Feature | Binary | no | ||
Attribute6 | Feature | Binary | no | ||
Attribute7 | Feature | Binary | no |
0 to 7 of 7
Additional Variable Information
-- All attribute values are either 0 or 1, according to whether the corresponding light is on or not for the decimal digit. -- Each attribute (excluding the class attribute, which is an integer ranging between 0 and 9 inclusive) has a 10% percent chance of being inverted.
Dataset Files
File | Size |
---|---|
led-creator-+17.c | 4.9 KB |
led-creator.c | 4.8 KB |
led-creator.names | 2.3 KB |
led-creator-+17.names | 1.7 KB |
Index | 213 Bytes |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset led_display_domain = fetch_ucirepo(id=57) # data (as pandas dataframes) X = led_display_domain.data.features y = led_display_domain.data.targets # metadata print(led_display_domain.metadata) # variable information print(led_display_domain.variables)
Breiman, L., Friedman, J., Olshen, R., & Stone, C. (1984). LED Display Domain [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5FG61.
Creators
L. Breiman
J.H. Friedman
R.A. Olshen
C.J. Stone
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.