BayesSIM (version 1.0.0)

concrete: UCI Concrete Compressive Strength (n = 1030, p = 8)

Description

Concrete compressive strength dataset from the UCI Machine Learning Repository. No missing variables and there are 8 quantitative inputs and 1 quantitative output.

Usage

data(concrete)

Format

Numeric data.frame of size 1030 \(\times\) 8.

cement

Numeric. Cement content (kg/m\(^3\)).

blast_furnace_slag

Numeric. Blast furnace slag (kg/m\(^3\)).

fly_ash

Numeric. Fly ash (kg/m\(^3\)).

water

Numeric. Mixing water (kg/m\(^3\)).

superplasticizer

Numeric. Superplasticizer (kg/m\(^3\)).

coarse_aggreate

Numeric. Coarse aggregate (kg/m\(^3\)).

fine_aggregate

Numeric. Fine aggregate (kg/m\(^3\)).

age

Numeric. Curing age (days; typically 1--365).

strength

Numeric. Concrete compressive strength (MPa).

Details

Source Concrete Compressive Strength in UCI Machine Learning Repository. This data is integrated by experimental data from 17 different sources to check the realiability of the strength. This dataset compiles experimental concrete mixes from multiple studies and is used to predict compressive strength and quantify how mixture ingredients and curing age affect that strength.

Variables.

• Cement, Blast Furnace Slag, Fly Ash, Water, Superplasticizer, Coarse Aggregate, Fine Aggregate: quantities in kg per m\(^3\) of mixture.

• Age: curing time in days (1--365).

• Target(strength): compressive strength in MPa.

References

Yeh, I. (1998). Concrete Compressive Strength [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5PK67.

Yeh, I. (1998). Modeling of strength of high-performance concrete using artificial neural networks. Cement and Concrete research, 28(12), 1797-1808.

Examples

data(concrete)
str(concrete)
plot(density(concrete$strength), main = "Concrete compressive strength (MPa)")