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Hyperparameter Tuning for Random Forest Using GridSearchCV #2

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jtrieu2 opened this issue Nov 15, 2019 · 2 comments
Open

Hyperparameter Tuning for Random Forest Using GridSearchCV #2

jtrieu2 opened this issue Nov 15, 2019 · 2 comments

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@jtrieu2
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jtrieu2 commented Nov 15, 2019

Description

This demo provides an example of how to tune a Random Forest classifier using GridSearchCV on the MNIST dataset.

Steps/Code to Reproduce

link to code: https://github.com/NeuroDataDesign/team-forbidden-forest

@bdpedigo
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Specify that you want to add a new thing to (where in the sklearn docs)

@jtrieu2
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jtrieu2 commented Dec 4, 2019

Description

This tutorial provides an example of how to tune a Random Forest classifier using GridSearchCV on the MNIST dataset. This tutorial will be added to Sklearn's documentation on hyperparameter tuning.

Steps/Code to Reproduce

link to code: https://github.com/NeuroDataDesign/team-forbidden-forest/blob/master/JennyTrieu/Tuning_Tutorial.ipynb

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