plot_auc: Internal function: Make parsimony plot

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

Internal function: Make parsimony plot

Description

Internal function: Make parsimony plot

Usage

plot_auc(
  AUC,
  variables,
  num = seq_along(variables),
  auc_lim_min,
  auc_lim_max,
  ylab = "Mean Area Under the Curve",
  title = "Parsimony plot on the validation set"
)

Arguments

AUC	A vector of AUC values (or mAUC for ordinal outcomes).
variables	A vector of variable names
num	A vector of indices for AUC values to plot. Default is to plot all.
auc_lim_min	Min y_axis limit in the parsimony plot (Default: 0.5).
auc_lim_max	Max y_axis limit in the parsimony plot (Default: "adaptive").
ylab	Title of y-axis
title	Plot title

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