Reputation: 17
below are my scripts in running KNN model using cross validate method.
## cross validation
library(caret)
cvroc <- trainControl(method = "repeatedcv",
number = 10, # number of iteration
repeats = 3,
classProbs = TRUE,
summaryFunction = twoClassSummary)
#KNN Model
set.seed(222)
fit_roc <- train(admit ~. ,
data = training,
method = 'knn',
tuneLength = 20,
trControl = cvroc, .
preProc = c("center","scale"),
metric = "ROC",
tuneGrid =expand.grid(k=1:60))
fit_roc
Question: My question will be, how can i convert the output from the model into a data.frame? i used the command below it gives error.
aa <- data.frame(fit_roc)
Thanks!
Upvotes: 0
Views: 1229
Reputation: 13319
Depending on which part of the output you want, you can do the following: The point is fit_roc$whatever you want to extract
fit_roc$results
Upvotes: 1