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Multi-class classification research benchmarks – Page 9 · SOTA2 Research

Multi-class classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

So2Sat-LCZ42 MS

60.72Accuracy

2

Feb 27, 2026

69.94Accuracy

2

Feb 27, 2026

Wine 3 classes (30 stratified splits)

2.4Error Rate

1

Jun 23, 2026

Iris 3 classes (30 stratified splits)

4.5Error Rate

1

Jun 23, 2026

Digits 10 classes (30 stratified splits)

3.3Error Rate

1

Jun 23, 2026

Covertype 7 classes 97,950-row working sample (five stratified splits)

32.4Error Rate

1

Jun 23, 2026

6 multi-class classification datasets

29.2Median Set Size Reduction (vs TopK (RF))

1

Jun 11, 2026

Page 9 of 9

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