Comparative Efficiency Analysis of OECD Health Systems: FDH vs. Machine Learning Approaches with Efficiency Analysis Trees (EAT and RFEAT)

Table 3 Summary statistics for nodes of the decision tree in Fig. 4

Node	n(t)	%	Mean	Var	Min	Q1	Median	Q3	Max	RMSE
1	36	100	80.47	9.9	73.1	78.48	81.5	82.7	84.5	5.09
2	11	31	77.04	7.95	73.1	74.85	76.8	79.55	81	4.79
3	25	69	81.98	3.36	76.4	81.5	82.4	83.2	84.5	3.1
4	7	19	75.51	3.89	73.1	74.25	75.4	76.35	78.9	3.85
5	4	11	79.7	3.85	76.8	79.35	80.5	80.85	81	2.14
6	2	6	74.85	0.61	74.3	74.57	74.85	75.12	75.4	0.78
7	5	14	75.78	5.38	73.1	74.2	75.5	77.2	78.9	3.75
8	21	58	81.86	3.68	76.4	81.4	82.4	83.2	83.9	2.77
9	4	11	82.58	1.78	81.5	81.8	82.15	82.93	84.5	2.24
10	3	8	80.17	7.5	77.2	78.95	80.7	81.65	82.6	3.3
11	18	50	82.14	2.86	76.4	81.53	82.55	83.2	83.9	2.4
12	16	44	82	2.99	76.4	81.47	82.35	83.2	83.6	2.32
13	2	6	83.3	0.72	82.7	83	83.3	83.6	83.9	0.85
14	10	28	82.13	0.85	80.8	81.43	81.95	83.08	83.3	1.46
15	6	17	81.78	7.34	76.4	82.03	82.75	83.25	83.6	3.07

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