roc_（数据，响应名称，预测变量名称，ret = ret，...）中的错误：数据数据中不存在列目标

Question

在R中，在计算roc分数时，我发现列不存在错误。在屏幕截图中，您可以看到数据中存在列目标。

我已附上屏幕截图..任何解决方案

#Split the data using CreateDataPartition
#Split the data using CreateDataPartition
set.seed(689)
#train.index<-createDataPartition(train$target,p=0.8,list=FALSE)
train.index<-sample(1:nrow(train),0.8*nrow(train))
#train data
train.data<-train[train.index,]
#validation data
valid.data<-train[-train.index,]
#dimension of train data
dim(train.data)
#dimension of validation data
dim(valid.data)
#target classes in train data
table(train.data$target)
#target classes in validation data
table(valid.data$target)
#Logistic Regression model
#Training and validation dataset
#Training dataset
X_t<-as.matrix(train.data[,-c(1,2)])
y_t<-as.matrix(train.data$target)
#validation dataset
X_v<-as.matrix(valid.data[,-c(1,2)])
y_v<-as.matrix(valid.data$target)
#test dataset
test<-as.matrix(test[,-c(1)])
#Logistic regression model
set.seed(667) # to reproduce results
lr_model <-glmnet(X_t,y_t, family = "binomial")
summary(lr_model)
#Cross validation prediction
set.seed(8909)
cv_lr <- cv.glmnet(X_t,y_t,family = "binomial", type.measure = "class")
cv_lr
#Plotting the missclassification error vs log(lambda) where lambda is regularization parameter
#Minimum lambda
cv_lr$lambda.min
#plot the auc score vs log(lambda)
plot(cv_lr)
#Model performance on validation dataset
set.seed(5363)
cv_predict.lr<-predict(cv_lr,X_v,s = "lambda.min", type = "class")
cv_predict.lr
#Accuracy of the model is not the best metric to use when evaluating the imbalanced datasets as it may be misleading. So, we are going to change the performance metric.
#Confusion matrix
set.seed(689)
#actual target variable
target<-valid.data$target
#convert to factor
target<-as.factor(target)
#predicted target variable
#convert to factor
cv_predict.lr<-as.factor(cv_predict.lr)
confusionMatrix(data=cv_predict.lr,reference=target)

#ROC_AUC score and curve
set.seed(892)
cv_predict.lr<-as.numeric(cv_predict.lr)
valid.data
response=valid.data$target
roc(data=valid.data[,-c(1,2)],response=target,predictor=cv_predict.lr,auc=TRUE,plot=TRUE)

错误：roc_（数据，response_name，predictor_name，ret = ret，...）中的错误：   列目标未出现在数据数据中