Compressive strength prediction on UHPC (train) benchmark leaderboard · SOTA2 Research

Compressive strength prediction on UHPC (train)

1.83MAEOptimized model

Evaluation Results

Method	Links
Optimized model2025.12		1.83	2.09	5.23	2.29	6.12	0.96
DecisionTree2025.12		5.61	0.057	85.96	9.27	28.85	0.92
AdaBoost2025.12		7.4	0.0837	89.73	9.47	18.61	0.91
Linear Regression2025.12		8.2	0.123	133.38	11.55	28.92	0.87
RidgeCV2025.12		8.22	0.1243	134.1	11.58	27.56	0.87
Lasso2025.12		9.41	0.1397	168.22	12.97	31.14	0.84
RidgeRegression2025.12		9.44	0.1406	168.01	12.96	31.05	0.84
Support Vector Machine SVM2025.12		9.63	0.1489	177.18	12.22	31.56	0.86
KernelRidge2025.12		9.65	0.1497	177.18	13.31	33.81	0.83
BayesianRidge2025.12		24.32	0.3941	986.79	31.41	89.22	0.05