Research Article

Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods

Table 4

Shapiro–Wilk normality test results for datasets.

VariablesD112 datasetD224 dataset
valueW valueW

W/C1.21 ⋅ 10−070.7929.46E − 080.780
C1.36 ⋅ 10−070.7948.11E − 080.777
fcc2.75 ⋅ 10−080.7642.32E − 080.752
FA7.11 ⋅ 10−080.7823.73E − 070.805
kk3.40 ⋅ 10−070.8106.73E − 080.773
CA9.28 ⋅ 10−080.7874.74E − 080.767