论文标题
干扰决策树中的路径：Deodata预测变量的注释
Interfering Paths in Decision Trees: A Note on Deodata Predictors
论文作者
论文摘要
提出了一种提高决策树预测准确性的技术。它在于在多个路径上并行评估树的分支。该技术实现了与Deodata算法最近邻域变体产生的预测。该技术还可以使决策树算法与最近的邻域变体进行杂交。
A technique for improving the prediction accuracy of decision trees is proposed. It consists in evaluating the tree's branches in parallel over multiple paths. The technique enables predictions that are more aligned with the ones generated by the nearest neighborhood variant of the deodata algorithms. The technique also enables the hybridization of the decision tree algorithm with the nearest neighborhood variant.
