Water Treatment Plant
Donated on 5/31/1993
Multiple classes predict plant state
Dataset Characteristics
Multivariate
Subject Area
Physics and Chemistry
Associated Tasks
Clustering
Feature Type
Integer, Real
# Instances
527
# Features
-
Dataset Information
Additional Information
This dataset comes from the daily measures of sensors in a urban waste water treatment plant. The objective is to classify the operational state of the plant in order to predict faults through the state variables of the plant at each of the stages of the treatment process. This domain has been stated as an ill-structured domain.
Has Missing Values?
No
Variables Table
Variable Name | Role | Type | Description | Units | Missing Values |
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no | |||||
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no | |||||
no | |||||
no | |||||
no | |||||
no | |||||
no | |||||
no | |||||
no |
0 to 10 of 38
Additional Variable Information
All atrributes are numeric and continuous N. Attrib. 1 Q-E (input flow to plant) 2 ZN-E (input Zinc to plant) 3 PH-E (input pH to plant) 4 DBO-E (input Biological demand of oxygen to plant) 5 DQO-E (input chemical demand of oxygen to plant) 6 SS-E (input suspended solids to plant) 7 SSV-E (input volatile supended solids to plant) 8 SED-E (input sediments to plant) 9 COND-E (input conductivity to plant) 10 PH-P (input pH to primary settler) 11 DBO-P (input Biological demand of oxygen to primary settler) 12 SS-P (input suspended solids to primary settler) 13 SSV-P (input volatile supended solids to primary settler) 14 SED-P (input sediments to primary settler) 15 COND-P (input conductivity to primary settler) 16 PH-D (input pH to secondary settler) 17 DBO-D (input Biological demand of oxygen to secondary settler) 18 DQO-D (input chemical demand of oxygen to secondary settler) 19 SS-D (input suspended solids to secondary settler) 20 SSV-D (input volatile supended solids to secondary settler) 21 SED-D (input sediments to secondary settler) 22 COND-D (input conductivity to secondary settler) 23 PH-S (output pH) 24 DBO-S (output Biological demand of oxygen) 25 DQO-S (output chemical demand of oxygen) 26 SS-S (output suspended solids) 27 SSV-S (output volatile supended solids) 28 SED-S (output sediments) 29 COND-S (output conductivity) 30 RD-DBO-P (performance input Biological demand of oxygen in primary settler) 31 RD-SS-P (performance input suspended solids to primary settler) 32 RD-SED-P (performance input sediments to primary settler) 33 RD-DBO-S (performance input Biological demand of oxygen to secondary settler) 34 RD-DQO-S (performance input chemical demand of oxygen to secondary settler) 35 RD-DBO-G (global performance input Biological demand of oxygen) 36 RD-DQO-G (global performance input chemical demand of oxygen) 37 RD-SS-G (global performance input suspended solids) 38 RD-SED-G (global performance input sediments)
Dataset Files
File | Size |
---|---|
water-treatment.data | 90.4 KB |
water-treatment.names | 12 KB |
Index | 138 Bytes |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset water_treatment_plant = fetch_ucirepo(id=106) # data (as pandas dataframes) X = water_treatment_plant.data.features y = water_treatment_plant.data.targets # metadata print(water_treatment_plant.metadata) # variable information print(water_treatment_plant.variables)
Poch, M. (1993). Water Treatment Plant [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5FS4C.
Creators
Manel Poch
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.