# Accuracy Over Time

> Accuracy Over Time - How to use the Accuracy Over Time tab, which becomes available when you specify
> date/time partitioning, to visualize how predictions change over time.

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 `2026-04-24T16:03:56.749462+00:00` (UTC).

## Primary page

- [Accuracy Over Time](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/aot.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.
- [Evaluate models](https://docs.datarobot.com/en/docs/workbench/nxt-workbench/experiments/experiment-insights/index.html): Linked from this page.
- [Accuracy Over Time](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/aot-classic.html): Linked from this page.

## Documentation content

# Accuracy Over Time

| Tab | Description |
| --- | --- |
| Performance | Helps to visualize how predictions change over time. |

[Accuracy Over Time](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/aot-classic.html), by default, shows predicted and actual vs. time values for the training and validation data of the most recent (first) backtest. This is the backtest model DataRobot uses to deploy and make predictions. (In other words, the model used to generate the error metric for the validation set.) For time series experiments, you can control the series (if applicable) and forecast distance used in the display. Note that series-based experiments are sometimes [compute-on-demand](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/aot-classic.html#display-by-series), depending on projected space and memory requirements.

The visualization also has a time-aware [Residuals](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/evaluate/aot-classic.html#interpret-the-residuals-chart) tab that plots the difference between actual and predicted values. It helps to visualize whether there is an unexplained trend in your data that the model did not account for and how the model errors change over time. For time series experiments, you can additionally set the forecast distance used in the display.