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Click in-app to access the full platform documentation for your version of DataRobot.

Consume applications

On the Current Applications page, click Open next to the application you want to launch. The Consume page allows you to test different application configurations before sharing the app with end-users.


End-users must sign in with a DataRobot account or acess the application via link that can be shared with users outside of DataRobot.

  Widget Description
Add Row Upload batch predictions—from the AI Catalog or a local file—or click Add new row to make a single record prediction.
All rows Displays a history of predictions. Select a row to view prediction results for that entry.
Pages Navigates between application pages.
Share Share the application with users, groups, or organizations within DataRobot.

Batch predictions

To make multiple prediction requests at once from the Home page, click choose file or drag the files into the box.

After adding new files, the application processes your predictions and displays them in the All Rows widget on the Home page. Click on any record to view the prediction results.

Single record predictions

To make a new prediction, click Add new row, bringing you to the Create page.

The Add New Row widget displays the features available when making predictions. Fill in the desired feature fields and click Add. If a field is left blank, the feature field displays N/A on the prediction results page. To add or remove feature fields, click Build and navigate to the Create page.

Click Add. After DataRobot completes the request, the prediction results page opens.

Prediction results

The prediction results page displays prediction information and insights based on the values entered for an individual prediction. This page automatically opens after making a new prediction, but you can also view prediction results by selecting a row in the All rows widget.

The General Information widget displays the values entered to make a prediction, and the Prediction Information widget displays the values entered to make a prediction, as well as Prediction Explanations. To add or remove feature fields, click Build and navigate to the One Row page.

Prediction Explanations

The Prediction Explanations widget displays a chart with your predictions results, as well as a table with Prediction Explanations—a qualitative measure of how features in the model impact a prediction.

The predicted value, based on the values represented as a percentage.
The basis of the prediction classification, determined by the dataset the app deployed from.
A table displaying the top 10 Prediction Explanations.


You must compute Prediction Explanations for the model before making a prediction.

What-if and Optimizer

The What-if and Optimizer widget displays various scenarios in a chart or a table view. To learn how to configure this widget, see the documentation on building applications

Opens the Add scenario pane.
Displays only actual, optimal, and all manually added scenarios.
Displays prediction insights in chart or table view.
Adds new scenarios to the widget.
Selects features for the x- and y-axis.


Check Show only manually added, optimal, and actual scenarios to more easily find your simulations.

Create simulations

If the What-if functionality is enabled, you can manually add scenarios to the widget's display.

To create a simulation, click Add scenario.

Provide values for each variable selected on the Build page. When you have entered values for each feature, click Add. This triggers a prediction request to a DataRobot prediction server and returns a predicted value for your target feature.

Selecting a point on the chart (data point) opens a pane on the right that displays prediction results and feature values for the selected scenario. If Prediction Explanations are available for your prediction request, they appear in the Prediction Explanations tab in the same pane.

You can continue to make predictions by updating the variable inputs with new values and repeating this process. After making several predictions, click Table view. This view allows you to drag-and-drop scenarios for side-by-side comparison.

Optimization simulation results

If the Optimizer functionality is enabled, the chart displays an optimal scenario, as well as different outcomes based on the flexible features added to the widget's configuration.

Once DataRobot completes running simulations, the chart populates the results. The y-axis measures the values of the target feature, and the x-axis indicates the simulation iteration. Each point on the graph represents the predicted value for each simulation run.

The orange data point represents your prediction and the green data point represents the optimal scenario—the values of the feature that most often produce the optimal result for your target (the minimal or maximal, based on your settings). The selected values are those you selected for a given iteration, allowing you to compare the selected values for each iteration to the overall most optimal values determined by the app.

Updated October 26, 2021
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