# Advanced ML model settings

The Advanced ML Model Settings section in Graphite Note is designed for users who want to go beyond the basics. Whether you’re optimizing a forecast, enriching your model with external signals, or exploring deeper insights from your data, these advanced tools help you unlock the full potential of machine learning—without writing a single line of code.

This section covers:

* [Actionable Insights ](/graphite-note-documentation/graphite-note-models/advanced-ml-model-settings/actionable-insights.md)\
  Enable strategic and feature-level AI-generated insights to guide real business decisions.
* [Advanced Parameters ](/graphite-note-documentation/graphite-note-models/advanced-ml-model-settings/advanced-parameters.md)\
  Fine-tune internal model behavior (e.g., handling of outliers, binning strategies, or custom filters).
* [Model Health Check ](/graphite-note-documentation/graphite-note-models/advanced-ml-model-settings/model-overview.md)\
  Get automatic diagnostics and visual feedback to evaluate how well your model is performing.
* [Regressors ](/graphite-note-documentation/graphite-note-models/advanced-ml-model-settings/regressors.md)\
  Add external variables (e.g., marketing spend, weather, events) to improve time series accuracy.

Explore each subpage to learn how these features work, when to use them, and how they can boost the performance and interpretability of your ML models in Graphite Note.


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