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Merge pull request #89426 from MicrosoftDocs/cjgronlund-patch-2
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articles/machine-learning/service/how-to-configure-auto-train.md

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n_cross_validations=5)
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The three different `task` parameter values determine the list of algorithms to apply. Use the `whitelist` or `blacklist` parameters to further modify iterations with the available algorithms to include or exclude. The list of supported models can be found on [SupportedAlgorithms Class](https://docs.microsoft.com/python/api/azureml-train-automl/azureml.train.automl.constants.supportedalgorithms?view=azure-ml-py).
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The three different `task` parameter values determine the list of models to apply. Use the `whitelist` or `blacklist` parameters to further modify iterations with the available models to include or exclude. The list of supported models can be found on [SupportedModels Class](https://docs.microsoft.com/en-us/python/api/azureml-train-automl/azureml.train.automl.constants.supportedmodels?view=azure-ml-py).
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### Primary Metric
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The primary metric; as shown in the examples above determines the metric to be used during model training for optimization. The primary metric you can select is determined by the task type you choose. Below is a list of available metrics.

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