Jesús M. Pérez
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View article: PCTBagging: From inner ensembles to ensembles. A trade-off between discriminating capacity and interpretability
PCTBagging: From inner ensembles to ensembles. A trade-off between discriminating capacity and interpretability Open
[EN] The use of decision trees considerably improves the discriminating capacity of ensemble classifiers. However, this process results in the classifiers no longer being interpretable, although comprehensibility is a desired trait of deci…
View article: UnPART: PART without the ‘partial’ condition of it
UnPART: PART without the ‘partial’ condition of it Open
The PART rule-induction algorithm creates rulesets by iteratively creating partial decision trees and extracting a rule from each tree. A recent study showed that growing trees further and combining it with pruning created classifiers with…
View article: The Consolidated Tree Construction algorithm in imbalanced defect prediction datasets
The Consolidated Tree Construction algorithm in imbalanced defect prediction datasets Open
In this short paper, we compare well-known rule/tree classifiers in software defect prediction with the CTC decision tree classifier designed to deal with class imbalance. It is well-known that most software defect prediction datasets are …