Mitigating urinary incontinence condition using machine learning

Table 4 Feature selection results

Feature	Lasso_SFM	DT_SFM	RF_SFM	chi_SKB	DT_RFE	RF_RFE	Lasso_RFE	Total
Water	√			√	√	√	√	5
Volume		√	√	√	√	√		5
VolInp-V of 1st drink		√	√	√	√	√		5
TimeInp-1st output and 2st drink/time		√	√	√	√	√		5
BMI		√	√	√	√	√		5
Age		√	√	√	√	√		5
Alcohol	√				√	√	√	4
Tea	√			√			√	3
Ndrinks				√		√	√	3
Alcoholic	√			√			√	3
Soda	√						√	2
Smoking	√						√	2
Level_exercise					√	√		2
Juice	√						√	2
Gender	√				√			2
Employment					√	√		2
Coffee				√			√	2
Milk							√	1

ISSN: 1472-6947