Concrete Slump Test
Donated on 4/29/2009
Concrete is a highly complex material. The slump flow of concrete is not only determined by the water content, but that is also influenced by other concrete ingredients.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Regression
Feature Type
Real
# Instances
103
# Features
-
Dataset Information
Additional Information
The data set includes 103 data points. There are 7 input variables, and 3 output variables in the data set. The initial data set included 78 data. After several years, we got 25 new data points.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no | |||||
| no |
0 to 10 of 10
Additional Variable Information
Input variables (7)(component kg in one M^3 concrete): Cement Slag Fly ash Water SP Coarse Aggr. Fine Aggr. Output variables (3): SLUMP (cm) FLOW (cm) 28-day Compressive Strength (Mpa)
Dataset Files
| File | Size |
|---|---|
| slump_test.data | 4.6 KB |
| slump_test.names | 2.6 KB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset concrete_slump_test = fetch_ucirepo(id=182) # data (as pandas dataframes) X = concrete_slump_test.data.features y = concrete_slump_test.data.targets # metadata print(concrete_slump_test.metadata) # variable information print(concrete_slump_test.variables)
Yeh, I. (2007). Concrete Slump Test [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5FG7D.
Creators
I-Cheng Yeh
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.