## code to prepare `multiple_populations` dataset goes here
multiple_populations <- prepare_performance_data(
probs = list(
"train" = example_dat %>%
dplyr::filter(type_of_set == "train") %>%
dplyr::pull(estimated_probabilities),
"test" = example_dat %>% dplyr::filter(type_of_set == "test") %>%
dplyr::pull(estimated_probabilities)
),
reals = list(
"train" = example_dat %>% dplyr::filter(type_of_set == "train") %>%
dplyr::pull(outcome),
"test" = example_dat %>% dplyr::filter(type_of_set == "test") %>%
dplyr::pull(outcome)
)
)
usethis::use_data(multiple_populations, overwrite = TRUE)
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