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Table 5 Differences between models learned from SMAC-GLORE and Ordinary Logistic Regression (LR) for Datasets 1-5

From: Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE)

β Dataset 1 Dataset 2 Dataset 3 Dataset 4
2-party SMAC-GLORE Ordinary LR 2-party SMAC-GLORE Ordinary LR 2-party SMAC-GLORE Ordinary LR 2-party SMAC-GLORE Ordinary LR
β 1 1.7632 1.7647 −0.6592 −0.6567 −0.5093 −0.5066 −1.5126 −1.5168
β 2 0.3369 0.3374 0.3174 0.3179 0.5767 0.5777 −0.3516 −0.3488
β 3 1.1885 1.1902 −0.2212 −0.2195 0.4102 0.4138 0.2822 0.2855
β 4 −1.6514 −1.6500 −1.3115 −1.3098 −1.8940 −1.8939 −1.4873 −1.4873