New Else-Tree Classifier Reduces Misclassification Errors in Decision Making.
The researchers developed a trustable decision tree model called Else-Tree classifier to improve classification accuracy. Unlike traditional models, Else-Tree focuses on homogeneous data regions to make confident predictions and reject uncertain cases. By analyzing datasets, the Else-Tree model was found to significantly reduce misclassification rates compared to other models.