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Marketplace User Guide
Last updated Oct 10, 2025
UiPath.DataRobot.Activities.Predict
Once a machine learning model has been deployed on the DataRobot server, this activity uses it to predict the target feature based on a single data set.
Common
- DisplayName - The display name of the activity.
Credentials
- Password - The password used to log into DataRobot.
- URL - (Optional) The URL of your DataRobot host. Defaults to https://app.datarobot.com if no value is provided.
- Username - The username used to log into DataRobot.
Input
- Data - The local path of the data file used to predict the target feature. This file must contain tabular data (e.g. a .csv file) with each line missing a value for the target feature.
- 
                        Deployment - The name of the deployed model used to predict the target feature. 
Output
- Predictions - The predicted values
                        of the target feature as a Prediction[].
Prediction objects contain the following fields:
                  * **Value** (`String`) - The predicted value for the model's target feature. 
* **Confidence** (`Double`) - The confidence, as a value between 0 and 1, that the predicted value is correct.
* **PredictionExplanation** (`Explanation[ ]`) - An array of features used to train the model and the degree to which they influence the predicted value.
* **Value** (`String`) - The predicted value for the model's target feature. 
* **Confidence** (`Double`) - The confidence, as a value between 0 and 1, that the predicted value is correct.
* **PredictionExplanation** (`Explanation[ ]`) - An array of features used to train the model and the degree to which they influence the predicted value.
    Explanation objects contain the following fields:
                  FeatureValue (
                  
                  
                  String) - The value this feature held in the
                     input data.
                  
                     Strength (
                  
                  
                  Double) - A numerical indication of how strongly this
                     feature correlated to the predicted value. 
                  Feature (
                  
                  
                  String) - The name of this feature.
                  QualitativeStrength (
                  
                  
               String) - A visual representation of how
                     strongly this feature correlates with the predicted value. Possible values are ---, --, -, ,
                     +, ++, +++.