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Benchmarks
Multi-class Classification on Grand-averaged Multi-class Datasets (test)
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98.6
Accuracy
RocketStack (Periodic Attention (Rand-λ = 0.05))
80.1296
84.9248
89.72
94.5152
Jun 20, 2025
Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
RocketStack (Periodic Attention (Rand-λ = 0.05))
Feature selection=Peri...
2025.06
98.6
RocketStack (Periodic Autoenc. 3L)
Feature selection=Peri...
2025.06
98.16
RocketStack (Periodic Attention (Rand-λ = 0.1))
Feature selection=Peri...
2025.06
98.12
RocketStack (Periodic SFE (No rand.))
Feature selection=Peri...
2025.06
98.04
RocketStack (Each level Attention)
Feature selection=Each...
2025.06
97.68
RocketStack (Without feature compression)
Feature selection=With...
2025.06
96.36
RocketStack (Without feature compression)
Feature selection=With...
2025.06
94.76
RocketStack (Periodic Autoenc. 2L)
Feature selection=Peri...
2025.06
94.56
RocketStack (Periodic SFE (No rand.))
Feature selection=Peri...
2025.06
94.42
RocketStack (Each level SFE)
Feature selection=Each...
2025.06
93.62
RocketStack (Each level Autoenc. 2L)
Feature selection=Each...
2025.06
91.34
RocketStack (Each level SFE)
Feature selection=Each...
2025.06
80.84
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