Research Article
A Prediction Model of Recidivism of Specific Populations Based on Big Data
Table 5
Behavior data of person B in 2020.
(a) |
| Months | Airplane (times) | High-speed train (times) | Bus (times) | Taxi (times) | Water fee (yuan) | Electricity fee (yuan) | Gas fee |
| January | 60 | 55 | 56 | 50 | 50 | 60 | 50 | February | 55 | 55 | 52 | 50 | 51 | 65 | 55 | March | 50 | 52 | 40 | 40 | 40 | 55 | 50 | April | 50 | 50 | 50 | 42 | 34 | 53 | 42 | May | 45 | 43 | 45 | 48 | 35 | 50 | 41 | June | 40 | 35 | 40 | 40 | 30 | 45 | 42 |
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(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 | 51 | 2 | 4000 | 500 | 2 | 1 | 2 | February | 52 | 1 | 4023 | 450 | 1 | 2 | 1 | March | 50 | 2 | 3800 | 450 | 1 | 2 | 1 | April | 45 | 2 | 3600 | 420 | 1 | 2 | 1 | May | 45 | 2 | 3200 | 400 | 1 | 2 | 1 | June | 40 | 2 | 3060 | 300 | 1 | 2 | 1 |
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