After importing data and selecting a target variable, the Data page appears. From this page you can click the Show advanced options link to access advanced modeling parameters.
These parameters are summarized in the following sections:
|Set additional parameters and modify values that can effect model builds.
|Bias and Fairness
|Set conditions that help calculate fairness, as well as identify and attempt to mitigate bias in a model's predictive behavior.
|Set the number of clusters that DataRobot discovers in a time series clustering project.
|External model prediction insights
|Bring external model(s) into the DataRobot AutoML environment, view them on the Leaderboard, and run a subset of DataRobot's evaluative insights for comparison against DataRobot models.
|Set monotonic constraints to control the influence between variables and target.
|Set how data is partitioned for training/validation/holdout and the validation type.
|Set how data is partitioned for OTV or time series projects.
|Downsample the majority class for faster model build time.
|Set a variety or time series-specific advanced options.
|Train-time image augmentation
|Create new training images to increase the amount of training data.