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Multidimensional Data Integration and Predictive Modeling of Political Stability under the Chinese Model

  
17 mars 2025
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Figure 1.

The political stability of Chinese cities
The political stability of Chinese cities

Figure 2.

China’s political stability forecast and global political stability forecast
China’s political stability forecast and global political stability forecast

Figure 3

Indicators of political stability prediction
Indicators of political stability prediction

Robust test results

Sample number Predictive result Forecast risk Actual risk Accuracy rate(%)
F1 F2 F3 F4 F5 F6
1 20 25 50 25 25 25 F3 F3 100
2 33.3 55.6 45.5 33.3 33.3 66.7 F2, F6 F3, F6 66.7
3 25 28.6 11.1 20 20 40 - - 100
4 40 50 40 50 33.3 33.3 F2, F4 F2 83.3
5 42.9 33.3 57.1 50 20 25 F3, F4 F3, F4 100
6 66.7 33.3 66.7 33.3 33.3 33.3 F1, F3 F1, F3 100
7 50 50 14.3 12.5 18.8 20 F1, F2 F2 83.3
8 20 50 33.3 33.3 75 33.3 F2, F5 F5 83.3
9 33.3 20 33.3 33.3 40 11.1 - - 100
10 66.7 66.7 13.3 50 22.2 50 F1, F2, F4, F6 F1, F2, F6 83.3
Overall prediction accuracy 89.99

Pretreatment of multidimensional data

Data processing method Clustering algorithm S F1(%)
SSAE K-Mean 0.67 82.5
KNN 0.91 82.9
K-Means++ 0.75 85.9
DAE K-Mean 0.71 82.1
KNN 0.72 82.3
K-Means++ 0.85 88.6
TSSAE K-Mean 0.9 81.1
KNN 0.84 90.6
K-Means++ 0.96 91.1