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Classification on UCI Htru2

Classification on UCI Htru2

59.7Training Time (s)FM-GP

Updated 5mo ago

Evaluation results

Method	Links
FM-GP2026.05		59.7
Var2026.05		92.4
GPnn2026.05		134

State-of-the-art paper

FM-GP

Scalable Gaussian process inference via neural feature maps

Dataset

HTRU2

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Related benchmarks

Classification on MNIST (Error Rate, ECE)Classification on CIFAR10 (Error rate, ECE)Training Time on UCI Eeg Classification on UCI Letter Training Time on UCI Magic (Classification)

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