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title: Machine Learning Algorithms(8) — Decision Tree Algorithm
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# Machine Learning Algorithms(8) — Decision Tree Algorithm

**[Towards Dev](https://daily.dev/sources/towardsdev)** · 13 min read · 2 upvotes · 0 comments

## Summary

Decision trees are powerful algorithms used for solving regression and classification problems through the use of if-else conditions. They involve writing nested if-else statements and mimic human-level thinking. Decision trees can be used to determine the risks of a heart attack or whether someone is able to play golf. The features to split the tree are selected based on information gain, which measures the impurity of the node split. Decision trees can also be used for regression problems and can be pruned to prevent overfitting.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdev.com/machine-learning-algorithms-8-decision-tree-algorithm-533b6926ddbb?source=rss----a648dc4ecb66---4>

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

[View this post on daily.dev](https://daily.dev/posts/machine-learning-algorithms-8-decision-tree-algorithm-wvn4hnm9s)

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