Logistic: logistic—function to perform logistic analysis and return the...

In LogisticEnsembles: Automatically Runs 36 Logistic Models (Individual and Ensembles)

logistic—function to perform logistic analysis and return the results to the user.

Description

logistic—function to perform logistic analysis and return the results to the user.

Usage

Logistic(
  data,
  colnum,
  numresamples,
  remove_VIF_greater_than,
  remove_ensemble_correlations_greater_than,
  save_all_trained_models = c("Y", "N"),
  save_all_plots = c("Y", "N"),
  set_seed = c("Y", "N"),
  how_to_handle_strings = c("0", "1"),
  do_you_have_new_data = c("Y", "N"),
  use_parallel = c("Y", "N"),
  train_amount,
  test_amount,
  validation_amount
)

Arguments

data	data can be a CSV file or within an R package, such as MASS::Pima.te
colnum	the column number with the logistic data
numresamples	the number of resamples
remove_VIF_greater_than	Removes features with VIGF value above the given amount (default = 5.00)
remove_ensemble_correlations_greater_than	Enter a number to remove correlations in the ensembles
save_all_trained_models	"Y" or "N". Places all the trained models in the Environment
save_all_plots	Options to save all plots
set_seed	Asks the user to set a seed to create reproducible results
how_to_handle_strings	0: No strings, 1: Factor values
do_you_have_new_data	"Y" or "N". If "Y", then you will be asked for the new data
use_parallel	"Y" or "N" for parallel processing
train_amount	set the amount for the training data
test_amount	set the amount for the testing data
validation_amount	Set the amount for the validation data

Value

a real number

LogisticEnsembles documentation built on Sept. 1, 2025, 1:09 a.m.