A random forest classifier. A random forest is a meta estimator that fits a number of decision tree classifiers on various sub-samples of the dataset and use averaging to improve the predictive accuracy and control over-fitting.
Cross-referenced across 55 tracked directories
#9049
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1 / 55
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Emerging
Adoption Stage
6/15/2014
Created
59
GitHub Stars
15
Forks
1/1/2018
Last Commit
Recently added to the ecosystem
Score: 100/100
0 dependency vulnerabilities found
Magniv
PromptLayer is a platform for prompt engineering and tracks your LLM requests.
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Forked from https://github.com/OpenRouterTeam/ai-sdk-provider
Nicolas Patry <[email protected]>, Anthony Moi <[email protected]>
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