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ResearchFormerly WizWand

Online Class-Incremental Learning on Iris

97.3Final Mean AccuracySLDA
81.38885.51989.6593.781May 12, 2026
Updated 5mo ago

Evaluation results

MethodLinks
SLDAType=Non-tree baseline2026.0597.3
SLDAProtocol=Online CIL (single-pass)2026.0597.3
SQDAType=Non-tree baseline2026.0596.7
SQDAProtocol=Online CIL (single-pass)2026.0596.7
MIST-GProtocol=Online CIL2026.0593.3
VFDTProtocol=No-reset CIL-adapted2026.0593.3
RutkowskiProtocol=No-reset CIL-adapted2026.0593.3
EFDTVariant=No-reset (NR)2026.0593.3
HATVariant=No-reset (NR)2026.0593.3
MIST-GProtocol=Online CIL (single-pass)2026.0593.3
MIST-GProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.0593.3
VFDTProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.0593.3
RutkowskiProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.0593.3
EFDT (NR)Protocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.0593.3
HAT (NR)Protocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.0593.3
MIST-KProtocol=Online CIL2026.0592.7
ARFTrees=10, Drift detection=Disabled2026.0592.7
MIST-KProtocol=Online CIL (single-pass)2026.0592.7
MIST-KProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.0592.7
ARF-NRProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass, Ensemble Size=10 trees, Drift Detection=Disabled2026.0592.7
NCMType=Non-tree baseline2026.0586
NCMProtocol=Online CIL (single-pass)2026.0586
RLSType=Non-tree baseline2026.0582.7
RLSProtocol=Online CIL (single-pass)2026.0582.7
PECType=Exemplar-free baseline2026.0582
PECProtocol=Online CIL (single-pass)2026.0582