# Predictive experiments

> Predictive experiments - Create machine learning and time series experiments and iterate quickly to
> evaluate and select the best predictive and forecasting 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 `2026-05-06T18:17:10.067080+00:00` (UTC).

## Primary page

- [Predictive experiments](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/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.
- [Create and evaluate non-time-aware experiments](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/create-experiments/create-predictive/index.html): Linked from this page.
- [Create and evaluate time-aware experiments](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/create-experiments/create-time-aware/index.html): Linked from this page.
- ["nowcasts"](https://docs.datarobot.com/en/docs/classic-ui/modeling/time/nowcasting.html): Linked from this page.
- [Manage experiments](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/manage-experiments/index.html): Linked from this page.
- [Evaluate with model insights](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/index.html): Linked from this page.
- [No-code applications](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/no-code-apps/index.html): Linked from this page.
- [Make predictions](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/make-predictions.html): Linked from this page.
- [Experiment reference](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/index.html): Linked from this page.

## Documentation content

The following sections provide details for creating non-time, time-aware, and time series experiments:

| Topic | Description |
| --- | --- |
| Create and evaluate non-time-aware experiments | Create non-time series (predictive) experiments, both supervised or unsupervised. Fine-tune experiment setup, making row-by-row predictions based on your data. |
| Create and evaluate time-aware experiments | Create supervised or unsupervised experiments using time-relevant data, and fine-tune experiment setup, make time series forecasts, or current value predictions "nowcasts". |
| Manage experiments | Access the data insights and the model Leaderboard to evaluate and compare models and experiments. |
| Evaluate with model insights | View model insights to interpret, explain, and validate what drives a model predictions. |
| No-code applications | Create and configure AI-powered applications using a no-code interface to enable core DataRobot services. |
| Make predictions | After you create an experiment and train models, you can upload scoring data, make predictions, and download the results. |
| Experiment reference | Provide reference content that supports working with predictive and time-aware experiments. |