Table 7

Performance metrics for each cause-of-injury CODEm model

Cause	Type	Sex	RMSE in-sample	RMSE out-of-sample	Per cent coverage in-sample	Per cent coverage out-of-sample
Transport injuries	Data rich	Female	0.153062	0.211028	0.999851	0.999395
Transport injuries	Data rich	Male	0.144423	0.202366	0.99978	0.998995
Transport injuries	Global	Female	0.216405	0.338398	0.99951	0.992996
Transport injuries	Global	Male	0.209561	0.327954	0.999347	0.99108
Road injuries	Data rich	Female	0.154916	0.22011	0.999945	0.999642
Road injuries	Data rich	Male	0.147432	0.208989	0.99987	0.999452
Road injuries	Global	Female	0.198002	0.338885	0.999736	0.993674
Road injuries	Global	Male	0.193896	0.321219	0.999332	0.990834
Pedestrian road injuries	Data rich	Female	0.183693	0.327964	0.999776	0.998965
Pedestrian road injuries	Data rich	Male	0.177994	0.323544	0.999688	0.998913
Pedestrian road injuries	Global	Female	0.240151	0.430127	0.999174	0.992328
Pedestrian road injuries	Global	Male	0.247329	0.409191	0.998229	0.990017
Cyclist road injuries	Data rich	Female	0.219965	0.435983	0.999892	0.999106
Cyclist road injuries	Data rich	Male	0.206919	0.500591	0.999876	0.999158
Cyclist road injuries	Global	Female	0.296895	0.528063	0.998384	0.990875
Cyclist road injuries	Global	Male	0.294776	0.527441	0.998702	0.988234
Motorcyclist road injuries	Data rich	Female	0.268406	0.653692	0.999776	0.998805
Motorcyclist road injuries	Data rich	Male	0.195368	0.444714	0.999793	0.998395
Motorcyclist road injuries	Global	Female	0.362655	0.692762	0.998726	0.99082
Motorcyclist road injuries	Global	Male	0.283024	0.502588	0.998804	0.987794
Motor vehicle road injuries	Data rich	Female	0.167766	0.33083	0.99993	0.999335
Motor vehicle road injuries	Data rich	Male	0.160584	0.309726	0.999919	0.999377
Motor vehicle road injuries	Global	Female	0.230946	0.38664	0.99957	0.995355
Motor vehicle road injuries	Global	Male	0.232898	0.378096	0.999353	0.992869
Other road injuries	Data rich	Female	0.408852	1.04171	0.997205	0.970506
Other road injuries	Data rich	Male	0.467256	1.21047	0.994429	0.9463
Other road injuries	Global	Female	0.558784	0.899497	0.994899	0.96375
Other road injuries	Global	Male	0.654189	1.0708	0.984753	0.931697
Other transport injuries	Data rich	Female	0.255843	0.406371	0.999581	0.998655
Other transport injuries	Data rich	Male	0.195575	0.404214	0.999666	0.99863
Other transport injuries	Global	Female	0.31846	0.546918	0.998599	0.991384
Other transport injuries	Global	Male	0.267514	0.49731	0.998444	0.989304
Falls	Data rich	Female	0.162773	0.237492	0.999873	0.999522
Falls	Data rich	Male	0.157114	0.220452	0.999847	0.999492
Falls	Global	Female	0.246877	0.428822	0.99923	0.988577
Falls	Global	Male	0.246101	0.369118	0.999571	0.989585
Drowning	Data rich	Female	0.177905	0.258172	0.999932	0.999782
Drowning	Data rich	Male	0.164617	0.226899	0.999868	0.999373
Drowning	Global	Female	0.238598	0.428467	0.999657	0.992777
Drowning	Global	Male	0.224438	0.361879	0.99961	0.989534
Fire, heat and hot substances	Data rich	Female	0.175426	0.245	0.999962	0.999793
Fire, heat and hot substances	Data rich	Male	0.17054	0.227618	0.999944	0.999737
Fire, heat and hot substances	Global	Female	0.281428	0.401798	0.999483	0.994548
Fire, heat and hot substances	Global	Male	0.289708	0.40982	0.999518	0.99422
Poisonings	Data rich	Female	0.190498	0.283924	0.999901	0.999732
Poisonings	Data rich	Male	0.189747	0.283639	0.999888	0.999668
Poisonings	Global	Female	0.311328	0.515718	0.99918	0.993385
Poisonings	Global	Male	0.323815	0.529806	0.999166	0.992089
Poisoning by carbon monoxide	Data rich	Female	0.255034	0.352342	0.999119	0.998139
Poisoning by carbon monoxide	Data rich	Male	0.234913	0.328692	0.999486	0.998765
Poisoning by carbon monoxide	Global	Female	0.353393	0.688269	0.998372	0.982832
Poisoning by carbon monoxide	Global	Male	0.305615	0.621778	0.999006	0.983458
Poisoning by other means	Data rich	Female	0.208468	0.470199	0.999861	0.998144
Poisoning by other means	Data rich	Male	0.231395	0.543185	0.999871	0.998948
Poisoning by other means	Global	Female	0.284383	0.555132	0.999746	0.989287
Poisoning by other means	Global	Male	0.288098	0.590913	0.999759	0.990146
Exposure to mechanical forces	Data rich	Female	0.171902	0.29354	0.999636	0.99932
Exposure to mechanical forces	Data rich	Male	0.162641	0.259268	0.999605	0.998955
Exposure to mechanical forces	Global	Female	0.398855	0.54379	0.995672	0.987855
Exposure to mechanical forces	Global	Male	0.325975	0.454021	0.995758	0.985214
Unintentional firearm injuries	Data rich	Female	0.207177	0.502831	0.999619	0.999488
Unintentional firearm injuries	Data rich	Male	0.221533	0.49235	0.999306	0.998449
Unintentional firearm injuries	Global	Female	0.354152	0.591674	0.998979	0.991558
Unintentional firearm injuries	Global	Male	0.355798	0.64953	0.996524	0.980841
Other exposure to mechanical forces	Data rich	Female	0.20287	0.436518	0.999912	0.999795
Other exposure to mechanical forces	Data rich	Male	0.170292	0.318704	0.999896	0.999761
Other exposure to mechanical forces	Global	Female	0.406425	0.538089	0.995379	0.98994
Other exposure to mechanical forces	Global	Male	0.361646	0.472713	0.995528	0.988955
Adverse effects of medical treatment	Data rich	Female	0.186809	0.305147	0.999832	0.999511
Adverse effects of medical treatment	Data rich	Male	0.217278	0.342415	0.999833	0.999577
Adverse effects of medical treatment	Global	Female	0.280204	0.430453	0.999698	0.993818
Adverse effects of medical treatment	Global	Male	0.277028	0.431272	0.999573	0.992957
Animal contact	Data rich	Female	0.277226	0.439671	0.999355	0.998642
Animal contact	Data rich	Male	0.231627	0.414921	0.999863	0.999528
Animal contact	Global	Female	0.401714	0.691306	0.998669	0.987713
Animal contact	Global	Male	0.316647	0.623446	0.9991	0.99176
Venomous animal contact	Data rich	Female	0.417726	0.745234	0.960501	0.956152
Venomous animal contact	Data rich	Male	0.401006	0.761481	0.977149	0.97478
Venomous animal contact	Global	Female	0.634642	0.915323	0.965066	0.949503
Venomous animal contact	Global	Male	0.449848	0.839185	0.97819	0.96024
Non-venomous animal contact	Data rich	Female	0.304776	0.593881	0.994547	0.991865
Non-venomous animal contact	Data rich	Male	0.304223	0.529077	0.998929	0.998113
Non-venomous animal contact	Global	Female	0.421204	0.680417	0.995082	0.9848
Non-venomous animal contact	Global	Male	0.471148	0.740524	0.998707	0.990622
Foreign body	Data rich	Female	0.170699	0.275966	0.999937	0.999705
Foreign body	Data rich	Male	0.166161	0.263143	0.999798	0.999305
Foreign body	Global	Female	0.216832	0.401408	0.999535	0.992467
Foreign body	Global	Male	0.227414	0.381598	0.999262	0.989838
Pulmonary aspiration and foreign body in airway	Data rich	Female	0.174424	0.374749	0.999979	0.999572
Pulmonary aspiration and foreign body in airway	Data rich	Male	0.178947	0.34741	0.999928	0.999294
Pulmonary aspiration and foreign body in airway	Global	Female	0.267697	0.416038	0.999413	0.993624
Pulmonary aspiration and foreign body in airway	Global	Male	0.286472	0.422915	0.998089	0.990215
Foreign body in other body part	Data rich	Female	0.31229	0.664465	0.99005	0.987846
Foreign body in other body part	Data rich	Male	0.291172	0.629172	0.993547	0.991666
Foreign body in other body part	Global	Female	0.462299	0.749894	0.98392	0.971743
Foreign body in other body part	Global	Male	0.478614	0.759133	0.984301	0.971436
Other unintentional injuries	Data rich	Female	0.266367	0.450437	0.999612	0.999067
Other unintentional injuries	Data rich	Male	0.228051	0.387409	0.999597	0.998959
Other unintentional injuries	Global	Female	0.354782	0.671813	0.997343	0.984969
Other unintentional injuries	Global	Male	0.301256	0.54085	0.997963	0.985982
Self-harm	Data rich	Female	0.157456	0.236415	0.999699	0.999206
Self-harm	Data rich	Male	0.150967	0.223371	0.999688	0.999011
Self-harm	Global	Female	0.219988	0.370761	0.998551	0.986222
Self-harm	Global	Male	0.203341	0.347213	0.999389	0.979274
Self-harm by firearm	Data rich	Female	0.215778	0.439608	0.992476	0.992525
Self-harm by firearm	Data rich	Male	0.19323	0.402898	0.998082	0.997457
Self-harm by firearm	Global	Female	0.311061	0.642889	0.987894	0.971118
Self-harm by firearm	Global	Male	0.316945	0.590367	0.992646	0.977377
Self-harm by other specified means	Data rich	Female	0.162023	0.345661	0.999855	0.998854
Self-harm by other specified means	Data rich	Male	0.235129	0.322581	0.999898	0.999453
Self-harm by other specified means	Global	Female	0.191636	0.38357	0.999636	0.98601
Self-harm by other specified means	Global	Male	0.192311	0.348953	0.999813	0.986603
Interpersonal violence	Data rich	Female	0.224081	0.294307	0.99863	0.996721
Interpersonal violence	Data rich	Male	0.220852	0.298197	0.998132	0.995665
Interpersonal violence	Global	Female	0.306086	0.450697	0.998456	0.989396
Interpersonal violence	Global	Male	0.307439	0.479452	0.997588	0.981596
Physical violence by firearm	Data rich	Female	0.253283	0.414003	0.998598	0.997318
Physical violence by firearm	Data rich	Male	0.277353	0.501753	0.997843	0.996142
Physical violence by firearm	Global	Female	0.44617	0.621002	0.993619	0.98712
Physical violence by firearm	Global	Male	0.41286	0.679294	0.995867	0.981991
Physical violence by sharp object	Data rich	Female	0.222036	0.393235	0.999815	0.999003
Physical violence by sharp object	Data rich	Male	0.235542	0.463121	0.999796	0.998721
Physical violence by sharp object	Global	Female	0.276474	0.499795	0.999526	0.993622
Physical violence by sharp object	Global	Male	0.332336	0.595217	0.999354	0.990212
Physical violence by other means	Data rich	Female	0.204351	0.336239	0.999954	0.999532
Physical violence by other means	Data rich	Male	0.202192	0.394188	0.999868	0.999051
Physical violence by other means	Global	Female	0.270287	0.410186	0.999719	0.995718
Physical violence by other means	Global	Male	0.285589	0.45387	0.999612	0.992595
Environmental heat and cold exposure	Data rich	Female	0.234754	0.399463	0.999403	0.999073
Environmental heat and cold exposure	Data rich	Male	0.201821	0.309939	0.999658	0.999207
Environmental heat and cold exposure	Global	Female	0.3511	0.639869	0.998595	0.989061
Environmental heat and cold exposure	Global	Male	0.33441	0.528137	0.999336	0.993068
Executions and police conflict	Data rich	Female	0.852242	1.4431	0.49803	0.533053
Executions and police conflict	Data rich	Male	0.970597	1.55607	0.629313	0.628953
Executions and police conflict	Global	Female	1.2422	1.86518	0.541687	0.549016
Executions and police conflict	Global	Male	1.04755	1.95756	0.671496	0.659889

CODEm, Cause of Death Ensemble model.