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Counterfactual Explanations on Simulation Case 2

4.946ValM3 (m=2)
2.244082.945543.6474.34846Jan 10, 2025

Evaluation results

MethodLinks
M3 (m=2)m=2, CE Instance Index=(1)2025.014.9462.7966.767881.7470.722
M3 (m=2)m=2, CE Instance Index=(2)2025.014.8262.7966.767881.7470.722
M3 (m=3)m=3, CE Instance Index=(1)2025.014.7052.7816.702961.5910.66
Proposed (M3)Proposed Method variant index=12025.014.705—————
M1 (MLP)Base Model=Multi-Layer Perceptron2025.014.6293.0158.3311001.5350.556
M3 (m=3)m=3, CE Instance Index=(2)2025.014.592.7816.702961.5910.66
Proposed (M3)Proposed Method variant index=22025.014.592.7816.702961.5910.66
M1 (LGB)Base Model=LightGBM2025.014.02711.2031.48710.3590.003
M1 (RF)Base Model=Random Forest2025.014.0038.871676.52865.50.4510.006
M3 (m=3)m=3, CE Instance Index=(3)2025.013.9792.7816.702961.5910.66
Proposed (M3)Proposed Method variant index=32025.013.979—————
M3 (m=4)m=4, CE Instance Index=(2)2025.013.8662.7547.10679.21.2280.476
M3 (m=4)m=4, CE Instance Index=(1)2025.013.8582.7547.10679.21.2280.476
M3 (m=4)m=4, CE Instance Index=(3)2025.013.462.7547.10679.21.2280.476
M2 (Stack)Base Model=Stacking2025.013.4557.60196.218410.4550.036
Wachter2025.013.2662.6096.62363.51.2520.493
DiCE2025.013.1662.9747.56563.21.0650.419
M1 (LR)Base Model=Logistic Regression2025.012.39438.001550.7980.299
M3 (m=4)m=4, CE Instance Index=(4)2025.012.3482.7547.10679.21.2280.476