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Table 3 Results for Chi square test

From: Built environment attributes and crime: an automated machine learning approach

  Anti-social behaviour Bicycle theft Burglary Criminal damage and arson Drugs Possession of weapons Public order Robbery Shoplifting Theft from the person Vehicle Crime Violence and sexual offences
Building 0.049171736 0.00419465 0.002945274 0.017695427 0.012567089 0.075277432 0.000659354 0.008140438 0.009503511 0.0000146 0.060032852 0.000323175
Door 0.009615258 0.020793548 0.006651332 0.000901065 0.010684809 0.103274205 0.007500919 0.027079278 0.017311229 0.004289079 0.060832707 0.000445047
Fence 0.007773285 0.075287479 0.07721061 0.100997268 0.001947025 0.001496339 0.000793808 0.11040128 0.001095057 0.001080291 0.023048432 0.001022461
Streetlight 0.003570158 0.025418916 0.01303054 0.00027064 0.000587713 0.002820387 0.000823301 0.002054649 0.009862088 6.52E−06 0.001494906 0.003103302
Tree 0.017455794 0.042665303 0.003518992 0.00027231 0.329965117 0.000790135 0.0004865 0.305091336 0.004736951 0.035206987 0.022780964 0.000388565
Window 0.06136163 0.013984676 0.012640516 0.00075709 0.156903242 0.194567982 0.006014738 0.057928357 0.001242845 0.000234946 0.001962376 2.03E−06
Hedge 0.009413935 0.152135475 0.001508649 0.004097326 0.021840133 0.021882287 0.000464755 0.000323893 0.00142401 0.006047027 0.007449936 0.002954804
Garage 0.001524997 0.026887385 0.001979047 0.006038218 0.003143268 0.021624719 0.000398972 0.014427641 0.005301108 0.039748623 0.009864861 1.63E−05
Max 0.06136163 0.152135475 0.07721061 0.100997268 0.329965117 0.194567982 0.007500919 0.305091336 0.017311229 0.039748623 0.060832707 0.003103302
Average 0.019985849 0.045170929 0.01493562 0.016378668 0.0672048 0.052716686 0.002142793 0.065680859 0.0063096 0.01082851 0.023433379 0.001031965
Difference 0.041375781 0.106964546 0.06227499 0.0846186 0.262760318 0.141851296 0.005358126 0.239410477 0.011001629 0.028920113 0.037399328 0.002071337