r - Help in Understanding num.trees, mtry, and nodsize in Random …
Aug 26, 2021 · 2 I am currently creating a random forest quantile regression model in R and I am looking to have a deeper understanding on of num.trees, mtry, and nodsize. I want to …
How to use random forests in R with missing values?
Dec 4, 2011 · Breiman's random forest, which the randomForest package is based on, actually does handle missing values in predictors. In the randomForest package, you can set
Implementing Balanced Random Forest (BRF) in R using …
The "randomForest" function in the "randomForest" R package supports the Balanced Random Forest. One need to specify the "strata" and the "sampsize" parameters to enable the …
Error Building Random Forest in R: randomForest Function Fails
Mar 13, 2025 · I'm currently engaged in a machine - learning project where I need to utilize the random forest algorithm. I've installed the randomForest package in R, but I'm facing …
r - Measures of variable importance in random forests - Cross …
I've been playing around with random forests for regression and am having difficulty working out exactly what the two measures of importance mean, and how they should be interpreted. The …
R - Plotting Random Forest - Cross Validated
Apr 21, 2020 · My random forest results are as I expect, and I was curious if there is a good way to visualize a sample tree from the forest? Or any other visualizations that will help me explain …
r - SHAP values for random survival forest - Stack Overflow
Nov 22, 2024 · SHAP values for random survival forest Asked 1 year, 1 month ago Modified 1 year, 1 month ago Viewed 410 times
r - setting values for ntree and mtry for random forest regression ...
47 I'm using R package randomForest to do a regression on some biological data. My training data size is 38772 X 201. I just wondered---what would be a good value for the number of …
r - Random forest: OOB for k-fold cross-validation? - Stack Overflow
Mar 19, 2021 · Maybe it is a stupid question but as far as I understand random forest usually uses bagging to split the training data into different subsets with replacement using 1/3 as a …
r - How to interpret OOB and confusion matrix for random forest ...
43 I got a an R script from someone to run a random forest model. I modified and run it with some employee data. We are trying to predict voluntary separations.