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Decision trees and random forest #299

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bvenn opened this issue Sep 21, 2023 · 0 comments
Open

Decision trees and random forest #299

bvenn opened this issue Sep 21, 2023 · 0 comments
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Difficulty: Advanced Hackathon projects with beginner difficulty FsLab Hackathon 2023 Implementation projects for the 2023 FsLab Hackathon Status: Available

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@bvenn
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bvenn commented Sep 21, 2023

Description

Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression [3].

The random forest algorithm is a supervised classification algorithm. Pseudocode is given in [1] and [2]. Sadly I cannot provide any more information about that. If you worked with random forests yourself, you may make more sense out the publications than I would in this short description.

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@bvenn bvenn added Difficulty: Advanced Hackathon projects with beginner difficulty FsLab Hackathon 2023 Implementation projects for the 2023 FsLab Hackathon Status: Available labels Sep 21, 2023
@bvenn bvenn changed the title Random forest Decision trees and random forest Sep 24, 2023
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Labels
Difficulty: Advanced Hackathon projects with beginner difficulty FsLab Hackathon 2023 Implementation projects for the 2023 FsLab Hackathon Status: Available
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