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Marketplace user guide
Last updated Apr 1, 2026
Predict

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.
Properties
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 ---, --, -, , +, ++, +++.