# Advanced options
URL: https://docs.datarobot.com/en/docs/classic-ui/modeling/build-models/adv-opt/index.html

> Set advanced parameters before building models to set non-default characteristics of the model build.

# Advanced options

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:

| Option | Description |
| --- | --- |
| Additional | 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. |
| Clustering | 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. |
| Feature Constraints | Set monotonic constraints to control the influence between variables and target. |
| Partitioning | Set how data is partitioned for training/validation/holdout and the validation type. |
| Partitioning: Date/time | Set how data is partitioned for OTV or time series projects. |
| Smart Downsampling | Downsample the majority class for faster model build time. |
| Time Series | Set a variety or time series-specific advanced options. |
| Train-time image augmentation | Create new training images to increase the amount of training data. |
| GPUs | Enable GPU support to improve runtime for deep learning models. |

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