Get Predictive Model Measures
- 18 Apr 2025
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Get Predictive Model Measures
- Updated on 18 Apr 2025
- 1 Minute to read
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- DarkLight
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Step Details | |
Introduced in Version | Process Mining 3.2 |
Last Modified in Version | Process Mining 3.2 |
Location | Process Mining > Predictions |
The Get Predictive Model Measures step in the Decisions Flow toolbox enables users to retrieve a predictive model's performance metrics from a Decisions instance. This provides an alternative to manually checking results in the Process Mining > Prediction > Prediction Center dashboard.
When a Predictive Model ID is provided as input, the step returns a structured set of evaluation metrics describing the model's test data performance. These metrics are critical for assessing the model's ability to predict outcomes and comparing different models or configurations.
Properties
Inputs
Property | Description | Data Type |
---|---|---|
Predictive Model ID | The ID of the model available in the Process Mining instance. | Int64 |
Outputs
Property | Description | Data Type |
---|---|---|
GetPredictiveModelMeasures_Output | A set of model evaluation metrics:
| -- |
Example
This example illustrates how to obtain and use the prediction model ID in the Decisions workflow to get the model's evaluation metrics:
- Log in to the Process Mining dashboard.
- Navigate to Prediction > Prediction Center dashboard to obtain the model ID. Also, check the status, which currently indicates that the model is Ready.
- Log in to the Decisions instance and create a Flow.
- Drag and drop the Get Predictive Model Measures Step from Toolbox > All Steps > Process Mining > Prediction.
- Select the Get Predictive Model Measures Step and open the Properties on the top right corner.
- Enter the model ID obtained from the Process Mining > Prediction > Prediction Center dashboard in the Predictive Model ID input field.
- Click on Debug Flow to test the Step and see the model's evaluation metrics.
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