Summary of Ensemble

Ensemble structure

Model	Weight
1_Default_Xgboost	1

	0	1	2	3	4	5	accuracy	macro avg	weighted avg	logloss
precision	0.757305	0.76361	0.773113	0.955914	0.978316	0.987243	0.86384	0.86925	0.86925	0.330851
recall	0.917386	0.780635	0.699803	0.935018	0.962963	0.887234	0.86384	0.86384	0.86384	0.330851
f1-score	0.829695	0.772029	0.734634	0.945351	0.970579	0.93457	0.86384	0.864476	0.864476	0.330851
support	6296	6296	6296	6296	6296	6296	0.86384	37776	37776	0.330851

	Predicted as 0	Predicted as 1	Predicted as 2	Predicted as 3	Predicted as 4	Predicted as 5
Labeled as 0	5775.86	77.6326	205.726	114.508	56.2836	65.9877
Labeled as 1	314.324	4914.88	1028.7	9.52496	28.5749	0
Labeled as 2	408.992	1443.87	4405.96	30.9843	0	6.19685
Labeled as 3	363.668	0	22.7292	5886.87	22.7292	0
Labeled as 4	107.624	0	35.8746	89.6866	6062.81	0
Labeled as 5	656.391	0	0	26.7915	26.7915	5586.03