Table 3 Variable importance produced by Random Forest model trained on findings of serious misconduct
From: A machine learning analysis of serious misconduct among Australian police
Variable | Mean Decrease Gini (MDG) |
|---|---|
Demographic variables | |
 Secondary employment | 0.13949791 |
 Awards or complimentary remarks | 0.12657524 |
 Age | 0.06176403 |
 Length of service | 0.05572832 |
 Socio-economic status | 0.03953699 |
 Years at rank | 0.03666515 |
 Transfers | 0.03130221 |
 Duty type: General duties | 0.00876206 |
 Rank: Senior Constable | 0.00698986 |
Misconduct process variables | |
 Unsubstantiated complaints | 0.06648072 |
 Local Area Commander Warning Notice | 0.05990792 |
 Region Commander Warning Notice | 0.05457879 |
 Performance or conduct management plan | 0.0249561 |
 Management action | 0.02337803 |
Prior minor misconduct | |
 Issues with an investigation | 0.03136233 |
 Improper use of force | 0.02252512 |
 Drink driving | 0.02020685 |
 Complaint related to court | 0.01807019 |
 Breach code of conduct | 0.01761054 |
 Harassment, intimidation or bullying | 0.01534989 |
 Allegation of corruption | 0.01431663 |
 Positive drug test | 0.0108887 |
 Disobey reasonable direction | 0.01070835 |
 Firearm related complaint | 0.00983039 |
 Untruthfulness/Dishonesty | 0.00948597 |
 Rudeness to members of the public | 0.00902758 |
 Breach privacy, unauthorised disclosure of data | 0.00840011 |
 Property or exhibits complaint | 0.00767745 |