随机森林算法中未使用的参数

Question

我不明白为什么收到此消息：

火车中的错误（奖牌〜。，数据= training1，方法=“ rf”，ntree = 5）：   未使用的参数（数据= training1，方法=“ rf”，ntree = 5）

在我的随机森林算法中。我之前已经运行过一个完全像这样的RF，但是现在却收到此错误。有什么想法吗？

library(caret)
library(randomForest)

OlympicData <- read.csv(file.choose(), header = T)

#convert NAs in Medal column to NoMedal
levels <- levels(OlympicData$Medal)
levels[length(levels) + 1] <- "NoMedal"
OlympicData$Medal <- factor(OlympicData$Medal, levels = levels)
OlympicData$Medal[is.na(OlympicData$Medal)] <- "NoMedal"
summary(OlympicData)

#remove unnecessary columns
OlympicData <- OlympicData[, -1]
OlympicData <- OlympicData[,-1]
OlympicData <- OlympicData[, -7]
OlympicData <- OlympicData[, -6]
summary(OlympicData)

#remove remaining NAs
OlympicData[complete.cases(OlympicData),]

#train model
set.seed(33)
Data_Splitting <- createDataPartition(OlympicData$Medal, p=0.75, list=FALSE)
training1 = OlympicData[Data_Splitting,]
testing1 = OlympicData[-Data_Splitting,]

rf <- train(Medal ~., data = training1, method = "rf", ntree = 5)