In this example, we are going to use the Concrete Compressive Strength dataset, which was freely provided by Yeh to the UCI repository (it was originally employed in the paper Modeling of strength of high performance concrete using artificial neural networks, I-Cheng Yeh, Cement and Concrete Research, Vol. 28, No. 12, pp. 1797-1808 (1998)). The dataset is made up of 1,030 samples with eight independent variables (Cement, Blast furnace slag, Fly ash, Water, Superplasticizer, Coarse aggregate, Fine aggregate, and Age) and a single dependent variable (Concrete Compressive Strength).
Once you have downloaded the Excel file (assuming that it has been stored in the ...
