# Non-time experiments

> Non-time experiments - Set basic and advanced options for creating predictive experiments; iterate
> quickly to evaluate and select the best predictive models.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-05-06T18:17:10.055065+00:00` (UTC).

## Primary page

- [Non-time experiments](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/create-experiments/create-predictive/index.html): Full documentation for this topic (HTML).

## Related documentation

- [NextGen UI documentation](https://docs.datarobot.com/en/docs/workbench/index.html): Linked from this page.
- [Workbench](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/index.html): Linked from this page.
- [Predictive experiments](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/index.html): Linked from this page.
- [Create experiments](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/create-experiments/index.html): Linked from this page.
- [time-aware modeling](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/create-experiments/create-time-aware/index.html): Linked from this page.
- [Supervised learning](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/create-experiments/create-predictive/ml-basic-experiment.html): Linked from this page.
- [Unsupervised learning](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/create-experiments/create-predictive/ml-unsupervised.html): Linked from this page.
- [Advanced experiment setup](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/create-experiments/create-predictive/ml-adv-experiment.html): Linked from this page.

## Documentation content

The following sections help to understand building atemporal (non-time) predictive models in Workbench.  See the section on [time-aware modeling](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/create-experiments/create-time-aware/index.html) for making forecasts with your data.

Predictive models can provide either supervised or unsupervised learning.

- Supervised learning uses the other features of your dataset to make predictions.
- Unsupervised learning uses unlabeled data to surface insights about patterns in your data, answering questions like "Are there anomalies in my data?" and "Are there natural clusters?"

| Topic | Description |
| --- | --- |
| Supervised experiment setup | Specify a target to build models using the other features of your dataset to make predictions. |
| Unsupervised experiment setup | Build clustering models that surface insights about patterns in your data or perform anomaly detection to identify outliers. |
| Advanced experiment setup | Use the Advanced settings tab to fine-tune experiment setup. |