DAEC is like #10, with a similar relabelling rule as ROC but re-assigns any prediction where classifiers disagree on the predicted label.
For example, if the an observation was positively labelled and the ensemble classifiers disagree on the predicted label, then the prediction would be negative.
DAEC is like #10, with a similar relabelling rule as ROC but re-assigns any prediction where classifiers disagree on the predicted label.
For example, if the an observation was positively labelled and the ensemble classifiers disagree on the predicted label, then the prediction would be negative.