There are two ways by which you can search for a model (as depicted in the following screenshot).

  1. Search models by model name: Use the Search box to search for your preferred model. You will start seeing the models as you type.
  2. Filter models by status: By default the table shows the list of all models. You can filter models by a specific status. For example, see only Live models. Use the available drop-down box and select your preferred status to view.

To work on an already initiated model, click on the model to view.

The details of the model are available in the Overview tab. 

  • Model name: Shows details of the model. 
  • Status and sub-status:  The significance of status and sub-status of a model are described in the following table.
Overall StatusSub-statusDescription
In ProgressValidatingData required for the model is currently under validation. As soon as the Validate button is clicked, it will go into this status/sub-status.
In ProgressTrainingModel is currently under training after training has been initiated by a user.
User Action RequiredData Quality: Needs Attention

Data validation has been completed and the data required for moving to the model training phase has issues. Fixes need to be made in the data before attempting data validation again.

User Action RequiredReady for TrainingData validation is successful. User has to manually trigger the model training step.
LiveMonitoring AccuracyModel training has been completed successfully and it is now Live, predicting propensity scores. Accuracy metrics are currently being monitored for the model.
Not InitiatedDisabledThe model has been selected but not yet initiated.

Last status update: Displays the date on which the model status was updated. 

About: Shows information about the model, explaining what the model predicts and the type of results it generates. The About section is followed by the status of each stage of the model, and a brief information about what is achieved in each stage. The status of each stage is highlighted by 4 symbols. The purpose of the symbols is described in the following table.

The adjacent stage has been completed successfully.

The adjacent stage has error(s) and user intervention is required.

The adjacent stage is in progress.
The adjacent stage has not yet been initiated/started.

View training status

The Training tab displays the fields as described in the following sections.

Training Status: There are three different statuses of training. See the following table for details. 

DisabledThe model has not yet reached the training stage or the training is yet to be triggered. You will see an option to train the model.
In_progressModel is currently under training if the training has been initiated by the user.
SuccessThe model has been trained successfully.
  • Last attempted on: This shows the date on which the model was last trained.
  • Avg training time: This field displays the time (in seconds) that was taken to complete the training phase.
  • Total training runs: This field displays the number of times the model has been trained successfully.
  • Previous Training Runs: This displays the history of training runs in a tabular format. The table has the columns labeled Training Attempt No, Status, Completed time and Time taken. 

View accuracy status

The Accuracy tab displays the fields as described in the following section

Accuracy StatusSuccess is shown when all the stages have been completed successfully and the model is actively performing its predictions
Last updated atThe date on which the accuracy status of the model was last updated.
RecallIt tells us what portion of actual positives was identified correctly.
PrecisionTell us what proportions of positive identifications were actually correct.
F1 scoreHarmonic Mean of precision and recall.