---
title: Time-aware experiments
description: Create forecasting experiments and iterate quickly to evaluate and select the best time series forecasting models.
section_name: Time series
maturity: public-preview
---

# Time-aware experiments {: #time-aware-experiments }

The following sections help to understand building time-aware experiments in Workbench:

Topic   |   Describes...
---------|-----------------
[Create experiments](ts-experiment-create)  | Create experiments to predict or forecast time-relevant data.
[Evaluate models](ts-experiment-evaluate) | Filter the Leaderboard, use visualization tools to evaluate models, and manage experiments.
[Add/retrain models](ts-experiment-add) | Retrain existing models and add models from the blueprint repository.
[Time series reference](ts-reference/index) | Read reference material explaining the DataRobot framework for implementing time series modeling.

## Feature considerations {: #feature-considerations }

Consider the following when working with date/time partitioned projects in Workbench:

* You cannot create feature lists on derived features.
* [Model comparison](wb-model-compare) is not supported.
* [Eureqa](eureqa){ target=_blank } model insights are not available.
