Table 1.

Model parameters for best performing logistic regression models.

Best models-logistic regression
Parameter	VRE	CRE	MRSA	MDRO
Cs	100	100	100	100
class_weight	None	None	None	None
cv=StratifiedKFold	n_splits=10	n_splits=10	n_splits=10	n_splits=10
dual	False	False	False	False
fit_intercept	True	True	True	True
intercept_scaling	1	1	1	1
max_iter	100	100	100	100
multi_class	'ovr'	'ovr'	'ovr'	'ovr'
n_jobs	1	1	1	1
penalty	L1	L1	L1	L1
random_state	None	None	None	None
refit	True	True	True	True
scoring	roc_auc	roc_auc	roc_auc	roc_auc
solver	liblinear	liblinear	liblinear	liblinear
tol	0.0001	0.0001	0.0001	0.0001
verbose	0	0	0	0
Threshold Bound	0.15	0.025	0.20	0.50