I am experiencing something very bizarre when validating one of my models. Using the exact same code to train and validate the model, I get a much worse AUC when I use data.table::fread to import the CSV data rather than using read.csv.Here are the only differences between the code.data <- read.csv('DT2.csv', sep = ',', header = T)vs:data <- fread('DT2.csv')The first yields a 0.79 AUC on validation while the latter yields 0.63.Could anyone explain what is happening here?
(R) importing csv via data.table::fread causes worse AUC than using read.csv
r;data.table