Research Article
Estimation of Soil Cohesion Using Machine Learning Method: A Random Forest Approach
Table 1
Initial statistical analysis of the database.
| Variable | Clay | Moisture content | Liquid limit | Plastic limit | Specific gravity | Void ratio | Soil cohesion |
| Role | Input | Input | Input | Input | Input | Input | Output | Symbol | Cl | Mc | LL | PL | δ | e | C | Unit | % | % | % | % | g/cm3 | — | kPa | Min | 4.09 | 15.53 | 20.80 | 13.42 | 2.59 | 0.58 | 0.29 | Median | 18.73 | 40.67 | 47.35 | 25.35 | 2.68 | 1.25 | 8.33 | Average | 20.09 | 47.38 | 51.07 | 63.96 | 2.68 | 1.42 | 10.05 | Max | 47.96 | 115.41 | 154.12 | 63.96 | 2.75 | 3.25 | 30.39 | SD | 9.16 | 24.33 | 22.42 | 8.42 | 0.26 | 0.66 | 6.70 | SK | 0.69 | 0.88 | 2.09 | 1.72 | −0.10 | 0.82 | 1.24 |
|
|
SD = standard deviation; SK = skewness.
|