LogisticEnsembles (version 0.5.0)

Logistic: 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"),
  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
)

Value

a real number

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

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