RandomForest：eval（predvars，数据，env）中的错误：找不到对象

Question

我正在尝试制作随机森林分类器，但我不断收到错误“eval（predvars，data，env）中的错误：未找到对象'紫杉二烯生物合成'”。我检查了我的训练和测试数据帧，它们都有相同的列名称。我似乎无法解决这个问题

# Number of iterations for repeated training and testing
n_iterations <- 100

# Store evaluation metrics for each iteration
accuracy_values <- vector("numeric", length = n_iterations)
precision_values <- vector("numeric", length = n_iterations)
recall_values <- vector("numeric", length = n_iterations)

# Perform repeated training and testing
for (i in 1:n_iterations) {
  # Split the data into training and testing sets
  set.seed(i) # For reproducibility in each iteration
  split1<- sample(c(rep(0, 0.7 * nrow(combined_data)), rep(1, 0.3 * nrow(combined_data))))
  train <- combined_data[split1 == 0, ]  
  test <- combined_data[split1== 1, ] 
  
  # Train the Random Forest model with confounding variables
  rf_model <- randomForest(Group ~ Age + Sex + Bodyweight.kg + ., data = train)
  
  # Evaluate model performance on the test set
  predictions <- predict(rf_model, newdata = test)
  confusion_matrix <- table(predictions, test_data$Class)
  accuracy_values[i] <- sum(diag(confusion_matrix)) / sum(confusion_matrix)
  # Compute and store evaluation metrics (accuracy, precision, recall, etc.) from confusion matrix
}