cleanse.data.frame      Cleansing the dataset for classification
                        modeling
cleanse.split_df        Cleansing the dataset for classification
                        modeling
compare_diag            Diagnosis of train set and test set of split_df
                        object
compare_performance     Compare model performance
compare_plot            Comparison plot of train set and test set
compare_target_category
                        Comparison of categorical variables of train
                        set and test set
compare_target_numeric
                        Comparison of numerical variables of train set
                        and test set
extract_set             Extract train/test dataset
matthews                Compute Matthews Correlation Coefficient
performance_metric      Calculate metrics for model evaluation
plot_cutoff             Visualization for cut-off selection
plot_performance        Visualization for ROC curve
run_models              Fit binary classification model
run_performance         Apply calculate performance metrics for model
                        evaluation
run_predict             Predict binary classification model
sampling_target         Extract the data to fit the model
split_by                Split Data into Train and Test Set
summary.split_df        Summarizing split_df information
treatment_corr          Diagnosis and removal of highly correlated
                        variables
