The parametres of the machine learning algorithm used for groundwater potentiality modelling
| Model name | Description of parametres |
|---|---|
| RF | Batch size-100, seed-6, number of iteration-200, max depth-3, calc out of bag-TRUE and compute attribute importance-TRUE |
| RSS | Classifier-RF, max depth- 3, minimum number-2, minimum proportion of the variance-0.001, executions slots-2, seed-5, iteration- 100 and subspace size-0.5 |
| Model name | Description of parametres |
|---|---|
| RF | Batch size-100, seed-6, number of iteration-200, max depth-3, calc out of bag-TRUE and compute attribute importance-TRUE |
| RSS | Classifier-RF, max depth- 3, minimum number-2, minimum proportion of the variance-0.001, executions slots-2, seed-5, iteration- 100 and subspace size-0.5 |
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