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Synthetic Data Classification research benchmarks · SOTA2 Research

Synthetic Data Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Spatial Heterogeneity (ps(r)=(0.999, 0.999, 0.8, 0.8), pv=0.8) synthetic (test)

78.8Test Mean Acc

5

Feb 26, 2026

Spatial Heterogeneity (ps(r)=(0.999, 0.999, 0.8, 0.8), pv=0.9) Synthetic (test)

88Mean Accuracy (Test)

5

Feb 26, 2026

Spatial Heterogeneity (ps(r)=(0.999, 0.9, 0.8, 0.7), pv=0.8) synthetic (test)

78.92Test Mean Accuracy

5

Feb 26, 2026

Spatial Heterogeneity (ps(r)=(0.999, 0.9, 0.8, 0.7), pv=0.9) synthetic (test)

88.28Mean Accuracy

5

Feb 26, 2026

Spatial Heterogeneity ps(r)=(0.999, 0.999, 0.7, 0.7), pv=0.8 Synthetic (test)

79.16Mean Accuracy (Test)

5

Feb 26, 2026

Spatial Heterogeneity Synthetic (ps(r)=(0.999, 0.999, 0.7, 0.7), pv=0.9) (test)

88.66Mean Accuracy

5

Feb 26, 2026

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Spatial Heterogeneity

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