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Decision tree (medium).
Split criterion is Gini's diversity index; maximum number of splits is 4. Decision tree (medium).
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This is because some of the learning algorithms applied in the proposed method (e.g., C4.5 decision tree learner) treat "low," "medium," and "high" as symbolic values.
Nevertheless, according to our aim#2 to identify high-risk subgroups, we deliberately chose the decision tree approach [ 11] despite our medium-sized data set (> 5,000 instances).
Accordingly, single decision tree (SDT), decision tree forest (DTF), and decision treeboost (DTB) models were constructed.
Do a simple decision tree.
The features were classified by decision tree algorithms.
All decision tree approaches investigated are in the WEKA package.
The analysts used standard decision tree techniques.
There's a decision tree for that.
It's like this algorithmic decision tree.
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