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Online Class-Incremental Learning on Wine

98.7Final Mean AccuracySQDA
-3.1347223.3031449.74176.17886May 12, 2026

Evaluation results

MethodLinks
SQDAType=Non-tree baseline2026.0598.7—
NCMType=Non-tree baseline2026.0598.1—
RLSType=Non-tree baseline2026.0598.1—
SLDAType=Non-tree baseline2026.0597.9—
MIST-GProtocol=Online CIL2026.0597—
VFDTProtocol=No-reset CIL-adapted2026.0597—
RutkowskiProtocol=No-reset CIL-adapted2026.0597—
EFDTVariant=No-reset (NR)2026.0597—
HATVariant=No-reset (NR)2026.0597—
MIST-KProtocol=Online CIL2026.0595.7—
ARFTrees=10, Drift detection=Disabled2026.0595.2—
PECType=Exemplar-free baseline2026.0578.2—
SQDAProtocol=Online CIL (single-pass)2026.050.987—
NCMProtocol=Online CIL (single-pass)2026.050.981—
RLSProtocol=Online CIL (single-pass)2026.050.981—
SLDAProtocol=Online CIL (single-pass)2026.050.979—
MIST-GProtocol=Online CIL (single-pass)2026.050.97—
MIST-GProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.050.97—
VFDTProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.050.97—
RutkowskiProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.050.97—
EFDT (NR)Protocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.050.97—
HAT (NR)Protocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.050.97—
MIST-KProtocol=Online CIL (single-pass)2026.050.957—
MIST-KProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass2026.050.957—
ARF-NRProtocol=Online CIL, Reset Variant=No-reset, Data Retention=None, Number of passes=Single-pass, Ensemble Size=10 trees, Drift Detection=Disabled2026.050.952—
PECProtocol=Online CIL (single-pass)2026.050.782—
EFDT (NR)Method Category=Tree-based, Variant Note=CIL-adapted2026.05—0.038
HAT (NR)Method Category=Tree-based, Variant Note=CIL-adapted2026.05—0.038
MIST-GMethod Category=Tree-based, Variant Note=CIL-adapted2026.05—0.038
MIST-KMethod Category=Tree-based, Variant Note=CIL-adapted2026.05—0.055
NCMMethod Category=Non-tree baselines, Variant Note=reference2026.05—0.007
PECMethod Category=Non-tree baselines, Variant Note=reference2026.05—0.152
RLSMethod Category=Non-tree baselines, Variant Note=reference2026.05—0.029
RutkowskiMethod Category=Tree-based, Variant Note=CIL-adapted2026.05—0.038
SLDAMethod Category=Non-tree baselines, Variant Note=reference2026.05—0.014
SQDAMethod Category=Non-tree baselines, Variant Note=reference2026.05—0
VFDTMethod Category=Tree-based, Variant Note=CIL-adapted2026.05—0.038