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Benchmarks
Classification on 25 Classification Datasets
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89.1
Mean Accuracy
CatBoost
77.036
80.168
83.3
86.432
May 16, 2026
Mean Accuracy
Updated 14d ago
Evaluation Results
Method
Method
Links
Mean Accuracy
CatBoost
cross-validation=5-fold
2026.05
89.1
Grad. Boosting
cross-validation=5-fold
2026.05
88.5
Soft Learning
cross-validation=5-fold
2026.05
88.2
Random Forest
cross-validation=5-fold
2026.05
87.8
Tuned MLP
cross-validation=5-fold
2026.05
85.8
NeuroSym
cross-validation=5-fold
2026.05
84.1
KAN-like
cross-validation=5-fold
2026.05
83.2
Basic MLP
cross-validation=5-fold
2026.05
82.2
Best-of-3
cross-validation=5-fold
2026.05
79.6
LR / Ridge
cross-validation=5-fold
2026.05
77.5
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