我正在R中执行随机森林回归,但想获得类似于“概率概率”作为“随机森林分类”的信息。过去,我运行过“随机森林分类”模型,并且能够获得预测的准确性。随机森林回归中是否有类似的概念?
对于以下代码:
fitControl <- trainControl(## 5-fold CV
method = "cv",
number = 5,
search = 'grid',
classProbs = TRUE,
savePredictions = "final"
)
grid <- expand.grid(.mtry=seq(1,4,1))
set.seed(123)
rf_model <- train(iris$Sepal.length~.,
data = iris[-5],
method = "rf",
importance=TRUE,
trControl = fitControl
metric = "MAE",
tuneGrid=grid,
ntree=100
)
]