我正在尝试在R中构建一个knn模型，我已经清理了我的数据并摆脱了异常值并将我的数值标准化。但是，当我尝试运行它时会出现：＆＃34; knn中的错误（train = x_train，test = x_test，cl = x_train_target，k = 57）： ＆＃39;列车＆＃39;和＆＃39;班级＆＃39;有不同的长度＆＃34;。
非常感谢任何帮助或评论。谢谢！
#Eliminating NA's
nrow(d0[!complete.cases(d0),]) #which gave me 35 rows with NA's
d0 <- na.omit(d0)
nrow(d0[!complete.cases(d0),])
#Dealing with Outliiers
d0 <- subset(d0, Night.Mins > 0)
d0 <-subset(d0, Night.Mins <350)
#Normalization
Churn <- d0$Churn.
d0$Area.Code <- NULL #Excluding
d0$State <- NULL
d0$Churn. <- NULL
d0$Phone <- NULL
d0$VMail.Plan <-NULL
d0$Int.l.Plan <- NULL
x_1 <- d0
normalizer<- function(x) {
return( (x-min(x))/(max(x)-min(x)) ) }
x_1 <- as.data.frame(lapply(x[,c(1:15)], normalizer))
x_1$Churn. <- Churn
set.seed(9850)#mixer
y <- runif(nrow(x))
x_1 <- x_1[order(y),]#mixed all of the data
trainrows <- sample (nrow(x_1),0.7*nrow(x_1))#training data
x_train <- x_1[trainrows,]
x_test <- x_1[-trainrows,]# test data
x_train_target <- x_1[trainrows,x_1$Churn.]
x_test_target <- x_1[-trainrows,x_1$Churn.]
require(class)
m1 <- knn( train= x_train, test= x_test, cl= x_train_target, k=57)}