# ensemblenode properties #

![Ensemble node icon](https://dataplatform.cloud.ibm.com/docs/content/wsd/nodes/scripting_guide/clementine/images/ensemblenodeicon.png)The Ensemble node combines two or more model nuggets to obtain more accurate predictions than can be gained from any one model\.

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ensemblenode properties  

Table 1\. ensemblenode properties

| `ensemblenode` properties        | Data type                                                                                                                                                             | Property description                                                                                                                                                                                                        |
| -------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `ensemble_target_field`          | *field*                                                                                                                                                               | Specifies the target field for all models used in the ensemble\.                                                                                                                                                            |
| `filter_individual_model_output` | *flag*                                                                                                                                                                | Specifies whether scoring results from individual models should be suppressed\.                                                                                                                                             |
| `flag_ensemble_method`           | `Voting``ConfidenceWeightedVoting``RawPropensityWeightedVoting``AdjustedPropensityWeightedVoting``HighestConfidence``AverageRawPropensity``AverageAdjustedPropensity` | Specifies the method used to determine the ensemble score\. This setting applies only if the selected target is a flag field\.                                                                                              |
| `set_ensemble_method`            | `Voting``ConfidenceWeightedVoting``HighestConfidence`                                                                                                                 | Specifies the method used to determine the ensemble score\. This setting applies only if the selected target is a nominal field\.                                                                                           |
| `flag_voting_tie_selection`      | `Random``HighestConfidence``RawPropensity``AdjustedPropensity`                                                                                                        | If a voting method is selected, specifies how ties are resolved\. This setting applies only if the selected target is a flag field\.                                                                                        |
| `set_voting_tie_selection`       | `Random``HighestConfidence`                                                                                                                                           | If a voting method is selected, specifies how ties are resolved\. This setting applies only if the selected target is a nominal field\.                                                                                     |
| `calculate_standard_error`       | *flag*                                                                                                                                                                | If the target field is continuous, a standard error calculation is run by default to calculate the difference between the measured or estimated values and the true values; and to show how close those estimates matched\. |

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