Couldn't find a saved dataset

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model_one <-glm( 
  Survived ~ age_imputed,
  family = binomial(),
  data = train_imputed 
  )
logistic_cv1 <- cv.glm(train_imputed, model_1, cost, K=5)
logistic_cv1$delta

I'm trying to use k-fold cross-validation to measure our model's performance on data. So I used glm function but after I run the code, this error message pops up,

Error in cv.glm(train_imputed, model_1, cost, K = 5) : object 'model_1' not found

How to fix this problem? I found it weird I saved model_1 as a new variable. But I couldn't find its dataset.

r
1 Answers

Very easy: your model in your code above is called model_one, but you call for model_1 in your code.

Run this and it should work:

logistic_cv1 <- cv.glm(train_imputed, model_one, cost, K=5)

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