compute_auc_val_survival: Internal function for survival outcomes: Compute AUC based on...

In AutoScore: An Interpretable Machine Learning-Based Automatic Clinical Score Generator

Internal function for survival outcomes: Compute AUC based on validation set for plotting parsimony

Description

Compute AUC based on validation set for plotting parsimony (survival outcomes)

Usage

compute_auc_val_survival(
  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

AutoScore documentation built on Oct. 16, 2022, 1:06 a.m.