Properties that can be configured for the HANA R-Random Forest Regression algorithm.
The R package that implements the algorithm is randomForest.
The maximum level supported on each dataset feature is 53. The level refers to the category, variety or type of values that can be taken by a variable; for example, the column "Gender" has two levels, Male" and "Female". In this case the variable cannot have more than 53 types of values.
| Property | Description |
|---|---|
| Features | Select the input columns with which you want to perform the analysis. |
| Target Columns | Select the target column on which you want to perform the analysis. |
| Number of Trees to Grow | The amount of trees that are required to grow in the Random Forest. This parameter can be set between 5 and 1000 inclusive. |
| Minimum terminal nodes | Minimum number of terminal nodes in the decision tree. This parameter can be set between 10 and 500 inclusive. |