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# Condense Random Forest into a Decision Tree

**[Daily Dose of Data Science \| Avi Chawla \| Substack](https://daily.dev/sources/dailydoseofds)** · 4 min read · 0 upvotes · 0 comments

## Summary

Learn a technique to condense a random forest model into a single decision tree, which can decrease prediction run-time, improve interpretability, reduce memory footprint, simplify the model, and preserve the generalization power of the random forest model.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.dailydoseofds.com/p/condense-random-forest-into-a-decision>

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#random-forest](https://daily.dev/tags/random-forest), [#decision-tree](https://daily.dev/tags/decision-tree)

[View this post on daily.dev](https://daily.dev/posts/condense-random-forest-into-a-decision-tree-u6vv0466b)

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