eval_data-class {SIAMCAT} | R Documentation

## The S4 class for storing evaluation data.

### Description

The S4 class for storing evaluation data.

### Slots

`.Data`

  inherited from `list` class, contains a list with:

  - `$roc.average` average ROC-curve across repeats or a single ROC-curve on complete dataset;

  - `$auc.average` AUC value for the average ROC-curve;

  - `$ev.list` list of `length(num.folds)`, containing for different decision thresholds the number of false positives, false negatives, true negatives, and true positives;

  - `$pr.list` list of `length(num.folds)`, containing the positive predictive value (precision) and true positive rate (recall) values used to plot the PR curves;

  . If `prediction` had more than one column, i.e. if the models has been trained with several repeats, the function will additonally return

  - `$roc.all` list of roc objects (see roc) for every repeat;

  - `$aucspr` vector of AUC values for the PR curves for every repeat;

  - `$auc.all` vector of AUC values for the ROC curves for every repeat

[Package SIAMCAT version 1.0.0 Index]