Pairwise Comparison Accuracy Refinement on Coding benchmark leaderboard · SOTA2 Research

Pairwise Comparison Accuracy Refinement on Coding

63.92Original AccuracyLogistic Regression

Evaluation Results

Method	Links
Logistic Regression2026.06		63.92	57.23	-6.69	89
Multilayer Perceptron2026.06		63.92	57.96	-5.96	89
Random Forest2026.06		63.92	61.82	-2.1	89
Label Propagation2026.06		63.92	56.34	-7.58	89
nnPU2026.06		63.92	62.45	-1.47	89
AURA2026.06		63.92	67.2	3.28	100.6
Logistic Regression2026.06		63.55	56.37	-7.18	85
Multilayer Perceptron2026.06		63.55	59.33	-4.21	85
Random Forest2026.06		63.55	61.63	-1.92	85
Label Propagation2026.06		63.55	46.87	-16.68	85
nnPU2026.06		63.55	63.43	-0.12	85
AURA2026.06		63.55	67.17	3.62	96.6
Logistic Regression2026.06		63.24	56.34	-6.91	89
Multilayer Perceptron2026.06		63.24	59.22	-4.02	89
Random Forest2026.06		63.24	61.47	-1.77	89
Label Propagation2026.06		63.24	54.55	-8.7	89
nnPU2026.06		63.24	63.03	-0.21	89
AURA2026.06		63.24	66.27	3.03	102.2
Logistic Regression2026.06		53.73	53.99	0.27	266
Multilayer Perceptron2026.06		53.73	53.25	-0.48	266
Random Forest2026.06		53.73	56.7	2.98	266
Label Propagation2026.06		53.73	50.87	-2.86	266
nnPU2026.06		53.73	55.74	2.01	266
AURA2026.06		53.73	77.74	24.02	278.8
Logistic Regression2026.06		50.29	53.24	2.95	247
Multilayer Perceptron2026.06		50.29	54.12	3.83	247
Random Forest2026.06		50.29	57.2	6.9	247
Label Propagation2026.06		50.29	50.89	0.6	247
nnPU2026.06		50.29	55.38	5.09	247
AURA2026.06		50.29	72.91	22.62	261.8