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

> Learn about the modeling process. Covers setting modeling parameters before building, modeling workflow, managing models and projects, and exporting data.

# Modeling

The sections described below provide information to help you easily navigate the ML modeling process.

## Build models

| Topic | Description |
| --- | --- |
| Build models | Elements of the basic modeling workflow. |
| Advanced options | Setting advanced modeling parameters prior to building. |
| Manage projects | Manage models and projects, and export data. |

## Model insights (Leaderboard tabs)

| Topic | Description |
| --- | --- |
| Evaluate tabs | View key plots and statistics needed to judge and interpret a model’s effectiveness. |
| Understand tabs | Understand what drives a model’s predictions. |
| Describe tabs | View model building information and feature details. |
| Predict tabs | Make predictions in DataRobot using the UI or API. |
| Compliance tabs | Compile model development documentation that can be used for regulatory validation. |
| Comments tab | Add comments to assets in the AI Catalog. |
| Bias and Fairness tabs | Identify if a model is biased and why the model is learning bias from the training data. |
| Other model tabs | Compare models across a project. |

## Specialized workflows

| Topic | Description |
| --- | --- |
| Date/time partitioning | Build models with time-relevant data (not time series). |
| Unsupervised learning | Work with unlabeled or partially labeled data to build anomaly detection or clustering models. |
| Composable ML | Build blueprints using built-in DataRobot tasks and custom Python or R code. |
| Visual AI | Use image-based datasets. |
| Location AI | Use geospatial datasets. |

## Time series modeling

| Topic | Description |
| --- | --- |
| What is time-based modeling? | The basic modeling process and a recommended reading path. |
| Time series workflow overview | The workflow for creating a time series project. |
| Time series insights | Visualizations available to help interpret your data and models. |
| Time series predictions | Making predictions with time series models. |
| Multiseries modeling | Modeling with datasets that contain multiple time series. |
| Segmented modeling | Grouping series into segments, creating multiple projects for each segment, and producing a single Combined Model for the data. |
| Nowcasting | Making predictions for the present and very near future (very short-range forecasting). |
| Enable external prediction comparison | Comparing model predictions built outside of DataRobot against DataRobot predictions. |
| Advanced time series modeling | Modifying partitions, setting advanced options, and understanding window settings. |
| Time series modeling data | Working with the time series modeling dataset:Creating the modeling datasetUsing the data prep toolRestoring pruned features |
| Time series reference | How to customize time series projects as well as a variety of deep-dive reference material for DataRobot time series modeling. |

## Modeling reference

See a variety of [modeling reference](https://docs.datarobot.com/en/docs/reference/pred-ai-ref/index.html) material in the Reference section, as well as the [modeling FAQ](https://docs.datarobot.com/en/docs/classic-ui/modeling/general-modeling-faq.html) for a list of frequently asked modeling questions, including building models and model insights, with brief answers and links to more complete documentation.

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