Logistic {LogisticEnsembles} | R Documentation |
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
)
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 |
Value
a real number
[Package LogisticEnsembles version 0.5.0 Index]