Table 2.

A comparison between model parameters $\beta$ learned using the proposed protocols and ordinary logistic regression protocol over LBW dataset

$\beta$	Ordinary LR	Accurate BMPC	BMPC			Accurate CMPC	CMPC
			3	5	7		3	5	7
${\beta }_1$	0.01574	0.01577	0.01761	0.01580	0.01480	0.01574	0.02214	0.01793	0.01630
${\beta }_2$	0.01127	0.01123	0.01171	0.01061	0.01006	0.01127	0.01534	0.01266	0.01166
${\beta }_3$	0.78666	0.78152	0.67763	0.62479	0.60392	0.78662	0.95081	0.81191	0.77010
${\beta }_4$	$-0.47132$	$-0.46992$	$-0.48975$	$-0.44423$	$-0.42170$	$-0.47131$	$-0.63960$	$-0.52621$	$-0.48340$
${\beta }_5$	$-1.32410$	$-1.31870$	$-1.24442$	$-1.13786$	$-1.08974$	$-1.32405$	$-1.68676$	$-1.41595$	$-1.32408$
${\beta }_6$	$-0.75584$	$-0.75594$	$-0.86971$	$-0.78142$	$-0.73330$	$-0.75583$	$-1.09894$	$-0.88944$	$-0.80596$
${\beta }_7$	$-2.20748$	$-2.20104$	$-2.48191$	$-2.23117$	$-2.09511$	$-2.20743$	$-3.15262$	$-2.56252$	$-2.33208$
${\beta }_8$	$-0.96060$	$-0.95756$	$-0.99906$	$-0.90459$	$-0.85667$	$-0.96058$	$-1.30317$	$-1.07358$	$-0.98838$
${\beta }_9$	$-0.24569$	$-0.24476$	$-0.21884$	$-0.20160$	$-0.19465$	$-0.24568$	$-0.30509$	$-0.25879$	$-0.24367$