Electrocardiogram/results.csv

1	model	stage	accuracy	f1_macro	f2_macro	recall_macro	precision_macro	f1_class0	f1_class1	f2_class0	f2_class1	recall_class0	recall_class1	precision_class0	precision_class1	TP	TN	FP	FN
2	LGBM_SMOTE	train	0.98818499917456	0.8760126546483045	0.8399085858018045	0.8198112125154727	0.9598771423117448	0.9939444918466291	0.75808081744998	0.9967070984144822	0.6831100731891271	0.9985576102161305	0.6410648148148148	0.9893749043238158	0.9303793802996736	774	27036	2	34
3	LGBM_SMOTE	test	0.9867724867724867	0.8559208843672739	0.8127209992015513	0.7896857910481889	0.965374580868779	0.9932270501198291	0.7186147186147186	0.9966541196152238	0.6287878787878788	0.9989520016767973	0.5804195804195804	0.9875673435557397	0.9431818181818182	83	4766	5	60
4	LGBM_KMEANS_SMOTE	train	0.98818499917456	0.8760126546483045	0.8399085858018045	0.8198112125154727	0.9598771423117448	0.9939444918466291	0.75808081744998	0.9967070984144822	0.6831100731891271	0.9985576102161305	0.6410648148148148	0.9893749043238158	0.9303793802996736	774	27036	2	34
5	LGBM_KMEANS_SMOTE	test	0.9867724867724867	0.8559208843672739	0.8127209992015513	0.7896857910481889	0.965374580868779	0.9932270501198291	0.7186147186147186	0.9966541196152238	0.6287878787878788	0.9989520016767973	0.5804195804195804	0.9875673435557397	0.9431818181818182	83	4766	5	60
6	LGBM_SVM_SMOTE	train	0.98818499917456	0.8760126546483045	0.8399085858018045	0.8198112125154727	0.9598771423117448	0.9939444918466291	0.75808081744998	0.9967070984144822	0.6831100731891271	0.9985576102161305	0.6410648148148148	0.9893749043238158	0.9303793802996736	774	27036	2	34
7	LGBM_SVM_SMOTE	test	0.9867724867724867	0.8559208843672739	0.8127209992015513	0.7896857910481889	0.965374580868779	0.9932270501198291	0.7186147186147186	0.9966541196152238	0.6287878787878788	0.9989520016767973	0.5804195804195804	0.9875673435557397	0.9431818181818182	83	4766	5	60
8	LGBM_BORDERLINE_SMOTE	train	0.98818499917456	0.8760126546483045	0.8399085858018045	0.8198112125154727	0.9598771423117448	0.9939444918466291	0.75808081744998	0.9967070984144822	0.6831100731891271	0.9985576102161305	0.6410648148148148	0.9893749043238158	0.9303793802996736	774	27036	2	34
9	LGBM_BORDERLINE_SMOTE	test	0.9867724867724867	0.8559208843672739	0.8127209992015513	0.7896857910481889	0.965374580868779	0.9932270501198291	0.7186147186147186	0.9966541196152238	0.6287878787878788	0.9989520016767973	0.5804195804195804	0.9875673435557397	0.9431818181818182	83	4766	5	60
10	LGBM_ADASYN_SMOTE	train	0.98818499917456	0.8760126546483045	0.8399085858018045	0.8198112125154727	0.9598771423117448	0.9939444918466291	0.75808081744998	0.9967070984144822	0.6831100731891271	0.9985576102161305	0.6410648148148148	0.9893749043238158	0.9303793802996736	774	27036	2	34
11	LGBM_ADASYN_SMOTE	test	0.9867724867724867	0.8559208843672739	0.8127209992015513	0.7896857910481889	0.965374580868779	0.9932270501198291	0.7186147186147186	0.9966541196152238	0.6287878787878788	0.9989520016767973	0.5804195804195804	0.9875673435557397	0.9431818181818182	83	4766	5	60
12	LGBM_Balanced	train	0.9880772921438743	0.8819085772805074	0.8575020546207861	0.843178069610239	0.9330261074557831	0.9938798529106704	0.7699373016503442	0.9957519348782675	0.7192521743633049	0.9970042873686262	0.6893518518518518	0.990776780581843	0.8752754343297229	779	27033	5	29
13	LGBM_Balanced	test	0.9861619861619861	0.8571081584060867	0.8246557274872268	0.8063299098721441	0.9299298722724962	0.9929048414023373	0.7213114754098361	0.9955224505168013	0.6537890044576523	0.997275204359673	0.6153846153846154	0.9885726158321213	0.8712871287128713	88	4758	13	55
14	LGBM_DART	train	0.9880413597061434	0.8747819377304309	0.8394311701094301	0.8197295388100121	0.956851692191424	0.9938704735789482	0.7556934018819133	0.9965888563780074	0.6822734838408528	0.9984096949039746	0.6410493827160494	0.989373835326035	0.9243295490568126	685	27022	16	123
15	LGBM_DART	test	0.9871794871794872	0.8660089064245453	0.8302067070505215	0.8102456126979287	0.9484753203607024	0.9934286012308334	0.7385892116182573	0.996234309623431	0.664179104477612	0.9981136030182352	0.6223776223776224	0.9887873754152824	0.9081632653061225	89	4762	9	54
16	LGBM_GOSS	train	0.988185050764564	0.8767619724826792	0.8413979145609835	0.8216153002029628	0.9579916919528333	0.9939435911838446	0.7595803537815136	0.9966404297714536	0.6861553993505135	0.9984466497886416	0.644783950617284	0.9894818584294637	0.9265015254762032	775	27035	3	33
17	LGBM_GOSS	test	0.9871794871794872	0.8615239070778549	0.8193657257149385	0.7966787980411958	0.9662106135986732	0.9934340802501302	0.7296137339055794	0.9967374937259494	0.6419939577039275	0.9989520016767973	0.5944055944055944	0.9879767827529021	0.9444444444444444	85	4766	5	58
18	LGBM_RF	train	0.9858507062671537	0.8481335782755919	0.8099301710699093	0.7891912188845618	0.9416024225560872	0.99275226985963	0.7035148866915535	0.9958737030582172	0.6239866390816016	0.9979657711024567	0.5804166666666666	0.987593854471584	0.8956109906405902	507	26993	45	301
19	LGBM_RF	test	0.9855514855514855	0.8465095837474215	0.809386193422338	0.7890569920542673	0.9352652953120861	0.9925972265665728	0.70042194092827	0.9956492637215528	0.6231231231231231	0.9976944036889541	0.5804195804195804	0.9875518672199171	0.8829787234042553	83	4760	11	60
20	LGBM_scale_pos_weight	train	0.9883646355682123	0.8847082787258997	0.8597348514523183	0.8451146678749734	0.9373215094285751	0.9940273787240415	0.7753891787277578	0.9959218264040318	0.7235478765006047	0.9971892122931566	0.6930401234567901	0.9908875151444739	0.8837555037126762	783	27033	5	25
21	LGBM_scale_pos_weight	test	0.9865689865689866	0.8624097011164226	0.8311362209667295	0.8133229168651512	0.9313849935322168	0.9931120851596744	0.7317073170731707	0.9956057752667922	0.6666666666666666	0.997275204359673	0.6293706293706294	0.9889835792974434	0.8737864077669902	90	4758	13	53
22	LGBM_is_unbalance	train	0.9882927448977485	0.8841054144736109	0.8598757937903134	0.8456764784528097	0.9349710933550665	0.9939903291217178	0.774220499825504	0.9958405185143574	0.7239110690662693	0.9970782655475945	0.6942746913580247	0.9909237024663042	0.8790184842438284	779	27033	5	29
23	LGBM_is_unbalance	test	0.9867724867724867	0.863955516465169	0.8317145687693159	0.8134277166974715	0.9356694049190748	0.9932171553793175	0.7346938775510204	0.9957733511884834	0.6676557863501483	0.9974848040243136	0.6293706293706294	0.9889858686616791	0.8823529411764706	90	4759	12	53
24	XGB_scale_pos_weight	train	0.9881131600941002	0.8868996060146659	0.8705466767428707	0.8606000987409465	0.9188644360910505	0.9938914211334648	0.7799077908958669	0.9951365452837685	0.7459568082019727	0.9959687160004116	0.7252314814814815	0.9918245196483149	0.8459043525337859	781	27028	10	27
25	XGB_scale_pos_weight	test	0.9839234839234839	0.8421764514805791	0.8211201077315871	0.8085688153808045	0.8847258771929825	0.9917458990701076	0.6926070038910506	0.9935521688159438	0.6486880466472303	0.9947600083839866	0.6223776223776224	0.98875	0.7807017543859649	89	4746	25	54
26	CatBoost_balanced	train	0.9843784049402589	0.8696686267343388	0.8824472728294012	0.8916952848998795	0.8508242781484853	0.9919396338322237	0.7473976196364541	0.9908276010500254	0.7740669446087769	0.9900881006639566	0.7933024691358025	0.9938004847319636	0.7078480715650071	789	26898	140	19
27	CatBoost_balanced	test	0.9802604802604803	0.8348421298822796	0.8461546793313885	0.8541662696976049	0.8176680164072361	0.9898162729658793	0.6798679867986799	0.988757446094471	0.703551912568306	0.9880528191154894	0.7202797202797203	0.991586032814472	0.64375	103	4714	57	40
28	RandomForest_balanced	train	0.9780219876596711	0.69482483029087	0.6476767204797605	0.6284046291958619	0.9637732327782711	0.988805060981185	0.400844599600555	0.9952275898084167	0.3001258511511045	0.9995561719719707	0.2572530864197531	0.9782843830335899	0.9492620825229521	749	27037	1	59
29	RandomForest_balanced	test	0.9774114774114774	0.6876170818855889	0.6409384493281152	0.6220632228806615	0.9494516644359052	0.9884938322794651	0.3867403314917127	0.994991652754591	0.28688524590163933	0.9993712010060783	0.24475524475524477	0.977850697292863	0.9210526315789473	35	4768	3	108
30	BalancedRandomForest	train	0.939704118430013	0.7028311098818047	0.7781778852496469	0.8752773234871295	0.6471027486545569	0.9681428255443214	0.43751939421928815	0.9533096243066284	0.6030461461926654	0.9436719309248763	0.8068827160493829	0.9939232551592664	0.30028224214984744	790	25662	1376	18
31	BalancedRandomForest	test	0.9318274318274318	0.6688915684702886	0.7336858411761832	0.8190487986128313	0.622796487015859	0.9639513612396428	0.37383177570093457	0.9486994831822418	0.5186721991701245	0.9387968979249633	0.6993006993006993	0.9904909332153914	0.25510204081632654	100	4479	292	43
32	LogisticRegression_balanced	train	0.9390578117583936	0.7053593691260407	0.7842568337517993	0.888164180680811	0.6482233216447624	0.9677636915743127	0.44295504667776875	0.9522564007253292	0.6162572667782692	0.9421925588924864	0.8341358024691358	0.9947683858648215	0.3016782574247032	745	25582	1456	63
33	LogisticRegression_balanced	test	0.9356939356939357	0.68489389075354	0.7544562768745361	0.844781921076199	0.6342667509156945	0.9660141966014196	0.4037735849056604	0.9510397695989158	0.5578727841501564	0.9413120939006497	0.7482517482517482	0.9920477137176938	0.27648578811369506	107	4491	280	36
34	LGBM_FOCAL_LOSS	train	0.9874308822922471	0.8637586787288788	0.8216344627004155	0.7989945052063886	0.969041715035573	0.9935632802546319	0.7339540772031252	0.9968410405554005	0.6464278848454306	0.9990383931288267	0.5989506172839506	0.9881485197433785	0.9499349103277674	774	27036	2	34
35	LGBM_FOCAL_LOSS	test	0.9855514855514855	0.838525460793502	0.7925445481202558	0.7687067700691679	0.9626827249232757	0.9926064771425596	0.6844444444444444	0.9964040809499917	0.5886850152905199	0.9989520016767973	0.5384615384615384	0.9863410596026491	0.9390243902439024	77	4766	5	66