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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Pemëtues i Vendimeve të Shpjegueshme×Pemët e vendimmarrjes×
FushaMësimi i makinësMësimi i makinës
FamiljaMachine learningMachine learning
Viti i origjinës1984 (CART); XAI framing formalized 2010s–2020s1984
KrijuesiBreiman, L.; Friedman, J.; Olshen, R. A.; Stone, C. J.Breiman, Friedman, Olshen & Stone
LlojiInterpretable supervised learning modelRecursive partitioning (if-then rules)
Burimi themeluesBreiman, L., Friedman, J., Olshen, R. A., & Stone, C. J. (1984). Classification and Regression Trees. Wadsworth & Brooks/Cole. ISBN: 978-0-412-04841-8Breiman, L., Friedman, J.H., Olshen, R.A. & Stone, C.J. (1984). Classification and Regression Trees. Wadsworth. DOI ↗
Emërtime të tjeraXDT, interpretable decision tree, rule-based decision tree, transparent decision treeKarar Ağacı (Decision Tree), karar ağacı, classification tree, regression tree
Të lidhura45
PërmbledhjaAn Explainable Decision Tree is a classification or regression tree deliberately grown to be shallow, readable, and auditable — producing a finite set of if-then rules that a human can verify without additional tools. It sits at the intersection of predictive modelling and Explainable AI (XAI), chosen when stakeholders must understand and trust every prediction the model makes.A Decision Tree is an interpretable classification and regression method, formalised by Breiman, Friedman, Olshen and Stone in their 1984 CART framework, that partitions the data with hierarchical if-then rules. Each split sends observations down one branch or another until a prediction is read off the leaf.
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ScholarGateKrahasoni metodat: Explainable Decision Tree · Decision Tree. Marrë më 2026-06-15 nga https://scholargate.app/sq/compare