I ran some experiments using CreateDataPartition in R to split the train and test data. I looped the results over about 500 times and did it on one laptop. When I tried to replicate the experiments on another laptop with the same code and data, it gave me very different results and not close to what I had before. I assume that this could be due to the seed issue and I am trying to figure out how to manage this so that I can replicate at least almost the same results as before. Any suggestions?

Below is a snapshot of how I am splitting the train and test data:

for (i in 1:500){ 
  set.seed(i)
  index = createDataPartition(data$S, p=.75,list=FALSE,times=1)
  train = data[index,]
  test= data[-index,]

Related posts

Recent Viewed