Research Article
Estimating the Compressive Strength of Cement-Based Materials with Mining Waste Using Support Vector Machine, Decision Tree, and Random Forest Models
Table 2
Statistical analysis of these variables in the dataset.
| Dataset | Variables | Mean | Std |
| Training dataset (the number of data points is 100) | Solid mining waste to cement ratio (%) | 70.14 | 1.61 | Fine sand ratio (%) | 11.15 | 7.24 | Solid mining waste to water ratio (%) | 6.92 | 2.16 | Curing time (d) | 33.53 | 21.14 |
| Testing dataset (the number of data points is 44) | Solid mining waste to cement ratio | 69.68 | 1.65 | Fine sand ratio | 11.48 | 7.73 | Solid mining waste to water ratio | 7.18 | 2.39 | Curing time | 27.43 | 22.64 |
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