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Pairwise Comparison Accuracy Refinement on Coding

63.92Original Accuracy

Logistic Regression

Updated 1mo ago

Evaluation Results

Method	Links
Logistic Regression 2026.06		63.92	57.23	-6.69	89
Multilayer Perceptron 2026.06		63.92	57.96	-5.96	89
Random Forest 2026.06		63.92	61.82	-2.1	89
Label Propagation 2026.06		63.92	56.34	-7.58	89
nnPU 2026.06		63.92	62.45	-1.47	89
AURA 2026.06		63.92	67.2	3.28	100.6
Logistic Regression 2026.06		63.55	56.37	-7.18	85
Multilayer Perceptron 2026.06		63.55	59.33	-4.21	85
Random Forest 2026.06		63.55	61.63	-1.92	85
Label Propagation 2026.06		63.55	46.87	-16.68	85
nnPU 2026.06		63.55	63.43	-0.12	85
AURA 2026.06		63.55	67.17	3.62	96.6
Logistic Regression 2026.06		63.24	56.34	-6.91	89
Multilayer Perceptron 2026.06		63.24	59.22	-4.02	89
Random Forest 2026.06		63.24	61.47	-1.77	89
Label Propagation 2026.06		63.24	54.55	-8.7	89
nnPU 2026.06		63.24	63.03	-0.21	89
AURA 2026.06		63.24	66.27	3.03	102.2
Logistic Regression 2026.06		53.73	53.99	0.27	266
Multilayer Perceptron 2026.06		53.73	53.25	-0.48	266
Random Forest 2026.06		53.73	56.7	2.98	266
Label Propagation 2026.06		53.73	50.87	-2.86	266
nnPU 2026.06		53.73	55.74	2.01	266
AURA 2026.06		53.73	77.74	24.02	278.8
Logistic Regression 2026.06		50.29	53.24	2.95	247
Multilayer Perceptron 2026.06		50.29	54.12	3.83	247
Random Forest 2026.06		50.29	57.2	6.9	247
Label Propagation 2026.06		50.29	50.89	0.6	247
nnPU 2026.06		50.29	55.38	5.09	247
AURA 2026.06		50.29	72.91	22.62	261.8