Research Article
Machine Learning Modeling Integrating Experimental Analysis for Predicting Compressive Strength of Concrete Containing Different Industrial Byproducts
Table 1
The statistics of experimental data.
| | Variable | C | LSP | Fly ash | GGBS | SF | RHA | MP | BP | CA | Fa | RCA | W | SP | VMA | CS |
| | Maximum | 150.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 478.0 | 0.0 | 94.5 | 0.0 | 0.0 | 10.2 | | Minimum | 570.0 | 272.0 | 350.0 | 330.0 | 250.0 | 200.0 | 185.2 | 67.5 | 1046.2 | 1135.0 | 865.4 | 250.0 | 22.5 | 1.2 | 117.0 | | Standard deviation | 85.0 | 58.0 | 94.0 | 47.7 | 32.0 | 20.5 | 39.3 | 11.3 | 198.5 | 110.4 | 154.4 | 25.1 | 4.6 | 0.3 | 17.9 |
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