An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1038/s41598-021-98879-9

https://doi.org/10.1038/s41598-021-98879-9

A Random Forest approach to identify metrics that best predict match outcome and player ranking in the esport Rocket League

Cited by: 9
Author(s): Tim D. Smithies, Mark J. Campbell, Niall Ramsbottom, Adam J. Toth
Published: almost 4 years ago

Software Mentions 3

cran: randomForest
Breiman and Cutler's Random Forests for Classification and Regression
Papers that mentioned: 1,447
Very Likely Science (100)
cran: rfPermute
Estimate Permutation p-Values for Random Forest Importance Metrics
Papers that mentioned: 42
Very Likely Science (85)
cran: rfUtilities
Random Forests Model Selection and Performance Evaluation
Papers that mentioned: 21
Very Likely Science (95)