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AppsDataRobot ToolsDatarobot Create Insights Roc Curve
DataRobot Tools

Datarobot Create Insights Roc Curve

Request calculation of ROC curve insights for a DataRobot model, custom model, or vector database. The ROC curve is computed asynchronously and can optionally be filtered by a data slice. Use this to evaluate binary classification model performance across different data partitio…

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Use Datarobot Create Insights Roc Curve

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Inputs

  • sourcestring
    Required
    The subset of data used to compute the ROC curve insight (e.g., validation, holdout, cross-validation, or backtest partitions).
  • entityIdstring
    Required
    The ID of the entity (model, custom model, or vector database) for which to calculate the ROC curve.
  • entityTypestring
    The type of entity for which insights will be calculated. Defaults to 'datarobotModel'.
  • dataSliceIdstring
    The ID of a data slice to filter the data used for ROC curve computation. Optional.
  • externalDatasetIdstring
    The ID of an external dataset to use for ROC curve computation. Required when source is 'externalTestSet'.

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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