the MLHO ML training and testing
mlearn(
dat.train,
dat.test,
dems = NULL,
save.model = FALSE,
classifier = "glmboost",
note = "mlho_terst_run",
cv = "cv",
nfold = 5,
aoi = "label",
multicore = FALSE,
preProc = TRUE
)
training data
testing data
demographic variables
do you want to save the model?
the classification algorithm
add a descriptive word about your modeling
cross validatio method
nfold cross validation folds
outcome of interest
do you want to parallelize the process?
preprocessig on the train data or not