Occupancy Detection
Donated on 2/28/2016
Experimental data used for binary classification (room occupancy) from Temperature,Humidity,Light and CO2. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute.
Dataset Characteristics
Multivariate, Time-Series
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Real
# Instances
20560
# Features
6
Dataset Information
Additional Information
Three data sets are submitted, for training and testing. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. For the journal publication, the processing R scripts can be found in: https://github.com/LuisM78/Occupancy-detection-data
Has Missing Values?
No
Introductory Paper
By L. Candanedo, V. Feldheim. 2016
Published in Energy and Buildings, Volume 112
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| id | ID | Integer | no | ||
| date | Feature | Date | no | ||
| Temperature | Feature | Integer | C | no | |
| Humidity | Feature | Continuous | % | no | |
| Light | Feature | Integer | Lux | no | |
| CO2 | Feature | Continuous | ppm | no | |
| HumidityRatio | Feature | Continuous | kgwater-vapor/kg-air | no | |
| Occupancy | Target | Binary | 0 for not occupied, 1 for occupied status | no |
0 to 8 of 8
Additional Variable Information
date time year-month-day hour:minute:second Temperature, in Celsius Relative Humidity, % Light, in Lux CO2, in ppm Humidity Ratio, Derived quantity from temperature and relative humidity, in kgwater-vapor/kg-air Occupancy, 0 or 1, 0 for not occupied, 1 for occupied status
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset occupancy_detection = fetch_ucirepo(id=357) # data (as pandas dataframes) X = occupancy_detection.data.features y = occupancy_detection.data.targets # metadata print(occupancy_detection.metadata) # variable information print(occupancy_detection.variables)
Candanedo,Luis. (2016). Occupancy Detection . UCI Machine Learning Repository. https://doi.org/10.24432/C5X01N.
@misc{misc_occupancy_detection__357,
author = {Candanedo,Luis},
title = {{Occupancy Detection }},
year = {2016},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5X01N}
}Creators
Luis Candanedo
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.