Can I read Tuning Random Forest with mtry in R on EtoBox?
Tuning Random Forest with mtry in R by kPrasad8 is a document available to read on EtoBox.
What is Tuning Random Forest with mtry in R about?
The document discusses tuning random forest models in R using the caret package. It explores tuning the mtry and ntree parameters of random forests using default, random, grid, and manual search methods in caret. The random search method found the highest accuracy of 86% with mtry=4. Grid search recommended mtry=2 with 82.5% accuracy. The tuneRF method in randomForest suggested mtry=5 had the lowest OOB error. Manually tuning models or extending caret parameters were proposed for more customized tuning.
- Author
- kPrasad8
- Language
- EN