Handle logical outcomes

[michaellevy]

and outcomes with "TRUE" and "FALSE" entries as character or factor. May require a new custom recipe step.

[michaellevy]

pima_diabetes <-pima_diabetes %>% 
  dplyr::mutate(diabetes = dplyr::case_when(
    diabetes == "Y" ~ TRUE,
    diabetes == "N" ~ FALSE))
machine_learn(pima_diabetes, patient_id, outcome = diabetes)