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Tactic: Detection Based Model Reconstruction
Tactic sort:
Awesome Tactic
Type: Architectural Tactic
Category: resource-adaptation
Title
Detection Based Model Reconstruction
Description
This tactic can be very effective in adapting to severe and abrupt cases of concept drift (CD) when the model is reconstructed at the right moment [17]. Despite the rather drastic adaptation strategy, which makes it less applicable for short-lasting and non-severe CD. Model reconstruction has been used a lot because it is generally effective in cases where a rapid response to severe CD is required [11], [15].
Participant
Machine Learning Practitioner.
Related software artifact
Machine Learning 'Artefact'.
Context
Concept Drift. Architectural Design Decisions. Evolvability.
Software feature
Batch Learning. Online Learning.
Tactic intent
Reduce concept drift.
Target quality attribute
Concept Drift.
Other related quality attributes
Evolvability.
Measured impact
< unknown >
Source
Evolvability of Machine Learning-based Systems: An Architectural Design Decision Framework by Joran Leest et al. (DOI: 10.1109/ICSA-C57050.2023.00033)Graphical representation
