# Time-series modeling
URL: https://docs.datarobot.com/en/docs/classic-ui/modeling/time/index.html

> This topic introduces components of time-aware modeling, a recommended practice for data science problems where conditions may change over time.

# Time-series modeling

Time-series modeling is a recommended practice for data science problems where conditions may change over time. With this method, the validation set is made up of observations from a time window outside of (and more recent than) the time window used for model training. Time-aware modeling can make predictions on a single row, or, with its core time series functionality, can extract patterns from recent history and forecast multiple events into the future.

| Topic | Description |
| --- | --- |
| What is time-based modeling? | Learn about the basic modeling process and a recommended reading path. |
| Time series workflow overview | View the workflow for creating a time series project. |
| Time series insights | Explore visualizations available to help interpret your data and models. |
| Time series predictions | Make predictions with time series models. |
| Time series portable predictions with prediction intervals | Export time series models with prediction intervals in model package (.mlpkg) format. |
| Multiseries modeling | Model with datasets that contain multiple time series. |
| Creating clusters | Allow DataRobot to identify natural segments (similar series) for further exploring your data. |
| Segmented modeling | Group series into user-defined segments, creating multiple projects for each segment, and producing a single Combined Model for the data. |
| Nowcasting | Make predictions for the present and very near future (very short-range forecasting). |
| Enable external prediction comparison | Compare model predictions built outside of DataRobot against DataRobot predictions. |
| Batch predictions for TTS and LSTM models | Make batch predictions for Traditional Time Series (TTS) and Long Short-Term Memory (LSTM) models. |
| Advanced time series modeling | Modify partitions, set advanced options, and understand window settings. |
| Time series modeling data | Work with the time series modeling dataset:Creating the modeling datasetUsing the data prep toolRestoring pruned features |

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