compute_auc_val {AutoScore}R Documentation

Internal function: Compute AUC based on validation set for plotting parsimony (AutoScore Module 4)

Description

Compute AUC based on validation set for plotting parsimony

Usage

compute_auc_val(
  train_set_1,
  validation_set_1,
  variable_list,
  categorize,
  quantiles,
  max_cluster,
  max_score
)

Arguments

train_set_1

Processed training set

validation_set_1

Processed validation set

variable_list

List of included variables

categorize

Methods for categorize continuous variables. Options include "quantile" or "kmeans"

quantiles

Predefined quantiles to convert continuous variables to categorical ones. Available if categorize = "quantile".

max_cluster

The max number of cluster (Default: 5). Available if categorize = "kmeans".

max_score

Maximum total score

Value

A List of AUC for parsimony plot


[Package AutoScore version 0.2.0 Index]