Advanced Settings

Last modified: August 29, 2022

The Advanced settings allow you to make detailed changes to Alteryx Machine Learning, like specific choices for automated feature engineering.

Only experienced users should change the Advanced settings.

General

The General tab contains options that allow you to tune the automated machine learning process. Make sure to select Save if you make any changes.

Data Evaluation

Select the objective function you want to use to determine the ranking of models you've trained. Objective functions are measures of how optimal a model is for your use case. To learn more about specific metrics, select the book icon in the header or Learn More while on the Leaderboard panel during the Auto Model stage.

Search Limits

At a minimum, Auto Model search runs all allowed estimator families for the given problem type. Use this option to increase the search time of additional pipelines. This might improve modeling results.

Cross-Validation

Choose how many folds to use during cross-validation.

Ensembling

Choose whether you want to use ensembling when building models. When enabled, we combine many models to create the optimal model for your use case.

Holdout Data

Enter the percentage of your original data you want to use as holdout data.

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