A Prediction Model of Recidivism of Specific Populations Based on Big Data

Table 4

Behavior data of person A in 2020.

(a)

Months	Airplane (times)	High-speed train (times)	Bus (times)	Taxi (times)	Water fee (yuan)	Electricity fee (yuan)	Gas fee
January	50	50	49	51	55	49	55
February	51	51	50	52	55	50	56
March	55	51	53	52	60	55	60
April	53	55	52	52	66	55	60
May	57	54	53	55	65	61	61
June	65	58	54	56	66	66	60

(b)

Months	Population quality (high 2)	Health (good 2)	Medical treatment costs (yuan)	Physical condition (1 is good)	Working condition (normal 2)	Frequency of job change (frequent 2)	Hotel check-in (times)
January	2	2	500	1	2	1	1
February	2	2	501	1	1	2	1
March	1	2	502	1	1	2	2
April	1	1	503	2	1	2	3
May	1	1	504	2	1	2	4
June	1	1	505	2	1	2	5