Thank you for your attention to our research. As stated in the article, the protocol (codes) for random forest regression has been uploaded to https://zenodo.org/record/4660115, and you can obtain the codes from the website at any time.
Copyright: Content may be subjected to copyright.
How to cite:
Readers should cite both the Bio-protocol preprint and the original research article where this protocol was used:
Hu, X and Yu, F(2021). Machine learning regression. Bio-protocol Preprint. bio-protocol.org/prep1142.
Yu, F., Wei, C., Deng, P., Peng, T. and Hu, X.(2021). Deep exploration of random forest model boosts the interpretability of machine learning studies of complicated immune responses and lung burden of nanoparticles. Science Advances 7(22). DOI: 10.1126/sciadv.abf4130
Do you have any questions about this protocol?
Post your question to gather feedback from the community. We will also invite the authors of this
article to respond.
0/150
Tips for asking effective questions
+ Description
Write a detailed description. Include all information that will help others answer your question including experimental processes, conditions, and relevant images.
Spinning
Post a Question
0 Q&A
Spinning
This protocol preprint was submitted via the "Request
a Protocol" track.