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 |
max_cluster |
The max number of cluster (Default: 5). Available if |
max_score |
Maximum total score |
Value
A List of AUC for parsimony plot
[Package AutoScore version 1.0.0 Index]