Research Article
Research on the Evaluation Model of Rural Information Demand Based on Big Data
Table 10
AUC value of all influencing factors.
| Serial number | Factor name | AUC value |
| 1 | The number of mobile phones per 100 households in rural areas X9 | 0.975 | 2 | The number of computers per 100 households in rural areas X7 | 0.972 | 3 | Number of family members X22 | 0.967 | 4 | The ability to receive information X37 | 0.966 | 5 | Optical fiber length per 100 square kilometers X3 | 0.96 | 6 | Distance from county center X34 | 0.955 | 7 | Number of family labor force X23 | 0.953 | 8 | Awareness of information acceptance X36 | 0.953 | 9 | The number of TV sets per 100 households in rural areas X8 | 0.947 | 10 | Distance from town center X33 | 0.946 | 11 | Experience of going out for work X21 | 0.942 | 12 | National informatization policy X38 | 0.941 | 13 | Knowledge of information X35 | 0.937 | 14 | Source of family income X26 | 0.936 | 15 | Per capita income of farmers X28 | 0.935 | 16 | Fixed investment in the information industry accounts for the proportion of fixed asset investment in the whole society X13 | 0.933 | 17 | Age X15 | 0.931 | 18 | Distance from provincial highway X32 | 0.928 | 19 | Cultural level X18 | 0.925 | 20 | Occupation X19 | 0.921 | 21 | Rural per capita postal volume X11 | 0.919 | 22 | Number of information talents per 10000 people X5 | 0.917 | 23 | Per capita disposable income of farmers X30 | 0.917 | 24 | TV coverage rate X4 | 0.913 |
|
|