# Understand tabs

> Understand tabs - The Understand tabs—Feature Effects, Feature Impact, Prediction Explanations, and
> Word Cloud—explain what drives a model’s predictions.

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 `2026-04-24T16:03:56.592841+00:00` (UTC).

## Primary page

- [Understand tabs](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/understand/index.html): Full documentation for this topic (HTML).

## Related documentation

- [Classic UI documentation](https://docs.datarobot.com/en/docs/classic-ui/index.html): Linked from this page.
- [Modeling](https://docs.datarobot.com/en/docs/classic-ui/modeling/index.html): Linked from this page.
- [Model insights](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/index.html): Linked from this page.
- [Cluster Insights](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/understand/cluster-insights-classic.html): Linked from this page.
- [clustering](https://docs.datarobot.com/en/docs/classic-ui/modeling/special-workflows/unsupervised/clustering.html): Linked from this page.
- [unsupervised learning](https://docs.datarobot.com/en/docs/reference/glossary/index.html#unsupervised-learning): Linked from this page.
- [Feature Effects](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/understand/feature-effects-classic.html): Linked from this page.
- [Feature Impact](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/understand/feature-impact-classic.html): Linked from this page.
- [Prediction Explanations](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/understand/pred-explain/index.html): Linked from this page.
- [Word Cloud](https://docs.datarobot.com/en/docs/classic-ui/modeling/analyze-models/other/analyze-insights.html#word-cloud-insights): Linked from this page.

## Documentation content

# Understand

The Understand tabs explain what drives a model’s predictions:

| Leaderboard tabs | Description | Source |
| --- | --- | --- |
| Cluster Insights | Visualizes the groupings of data that result from modeling in clustering mode, an unsupervised learning technique. | Training data |
| Feature Effects | Visualizes the effect of changes in the value of each feature on the model’s predictions. | Training data prior to v5.0; Training, Validation, Holdout (selectable) in v5.0+ |
| Feature Impact | Provides a high-level visualization that identifies which features are most strongly driving model decisions. | Training data |
| Prediction Explanations | Illustrates what drives predictions on a row-by-row basis using XEMP or SHAP methodology. | Low and high thresholds and baseline prediction based on Validation data (XEMP) or training data (SHAP) |
| Word Cloud | Displays the most relevant words and short phrases in word cloud format. | Training data |