Author:		Jesús M. Pérez <txus.perez{[at]}ehu.eus>, Josué Cabezas Regoyo, Ander Otsoa de Alda Alzaga <ander.otsoadealda{[at]}gmail.com>
Category:		Classification, Ensemble learning
Date:		2025-06-30
Depends:		weka (>=3.8.7-SNAPSHOT|<3.9.0),J48Consolidated (>=3.2)
Description:		Class for generating a Partially Consolidated Tree-Bagging (PCTBagging) multiple classifier. Allows building a classifier between a single consolidated tree (100%), based on J48Consolidated, and a bagging (0%), according to the given consolidation percent. First, a partially consolidated tree is built based on a set of samples, and then, a standard J48 decision tree is developed from the leaves of the tree related to each sample, as Bagging does, combining J48Consolidated's interpretability with Bagging's discriminative power. Key improvements: Flexible node specification: exact count or percentage of nodes Iterative construction that stops when reaching target nodes 7 node-selection criteria (Size, GainRatio variants, etc.) 2 search heuristics (Best-first and Hill climbing) Optional 'unrestricted' pruning of base trees Detailed node annotations showing development order and ensemble retention 40+ performance metrics for comprehensive evaluation For more information, see: Jesús M. Pérez and Olatz Arbelaitz. "Multi-Criteria Node Selection in Direct PCTBagging: Balancing Interpretability and Accuracy with Bootstrap Sampling and Unrestricted Pruning". Information Sciences (2025), submitted. doi:10.1016/j.ins.2025.XX.XXXAlso see: Igor Ibarguren and Jesús M. Pérez and Javier Muguerza and Olatz Arbelaitz and Ainhoa Yera. "PCTBagging: From Inner Ensembles to Ensembles. A trade-off between Discriminating Capacity and Interpretability". Information Sciences (2022), Vol. 583, pp 219-238. doi:10.1016/j.ins.2021.11.010
Enhances:
License:		GPL 3.0
Maintainer:		Jesús M. Pérez <txus.perez{[at]}ehu.eus>
PackageURL:		http://www.aldapa.eus/res/weka-pctbagging/J48PartiallyConsolidated-v1.1.zip
Related:		J48Consolidated
URL:		http://www.aldapa.eus/res/weka-pctbagging
Version:		1.1