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Table 2 Summary of features used for prediction in HeMo and WoON

From: A machine learning approach to small area estimation: predicting the health, housing and well-being of the population of Netherlands

Feature Categories/median (min.–max.) % missing
Age 50 (18–108) 0.0
Sex Male 0.0
Female
Ethnicity Netherlands 0.0
Morocco
Turkey
Suriname
Netherlands Antilles
Other non-western
Other western
Marital status Single 0.6
Married
Divorced
Widowed
Education (descriptions Table 13) Basis 37.8
VMBObk
VMBOgt
MBO23
MBO4
HAVO-VWO
HBO-WO-BAC
HBO-WO-M/PhD
Household type Single person household 0.0
Unmarried without children
Married without children
Unmarried with children
Married with children
Single parent family
Other
Household size 2 (1–10) 0.0
Household income source Wage 2.4
Wage director/shareholder
Self-employed
Unemployment benefit
Social assistance benefit
Disability benefit
Old-age pension
Other benefit
Student loan
Property income
Home ownership Homeowner 2.0
Rental no allowance
Rental with allowance
Household income (percentile) 63 (1–100) 2.4
Household assets (percentile) 56 (1–100) 2.4
Neighborhood address density 71 (1–100) 0.0
x-coordinate (m) 140,348 (13,666–277,711) 0.0
y-coordinate (m) 453,926 (306,922–611,538) 0.0