US Fatal Police Shooting Analysis and Prediction: Conclusion and References

Table of Links

Abstract and Introduction

Related work

Methodology

Media reporting analysis

WP fatal police shooting dataset insight

Fatal police shooting rate and victims race prediction

Conclusion and References

7. Conclusion

In conclusion, we found that mainstream media disproportional reporting fatal police shooting by the race, which may instigate hostile sentiments between police and the public. We suggest mainstream media report all news according to the realistic. Second, we found that the police shooting rate depends on many variables. The top four significant attributes were state joined year, state land area, gun ownership rate, and violent crime rate. Choosing these four attributes as predictors, our best-performed regression model could predict the fatal police shooting rate with about 88.53% correlation coefficient. Admittedly, we cannot find all the influence factors. It indicates that the fatal police shooting is a complex multi-dimensional problem. We also found two variables (police basic training hour, number of months police can work before basic training) appealed by CNBC negatively and weakly correlated with the fatal police shooting. Third, based on the WP dataset, we tried to depict a typical scenario when a police shooting happened and remark the hotspots among the country. Last, our three best performance models show no significant evidence to conclude that racial discrimination happened during fatal police shootings recorded by the WP dataset.

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