Table 2. Summary of the data sets that fit multiple models.

	IDb	FICb	PMMb	PAb	OUb
	(n = 36)	(n = 67)	(n = 4)	(n = 5)	(n = 10)
ID	-	0.48	1	0	0.8
FIC	0.86	-	0.75	0.8	0.7
PMM	0.94	0.06	-	0.8	0.4
PA	0.89	0.81	1	-	0.9
OU	0.86	0.12	0.5	0.8	-

In the first row of the table, n represents the number of data sets that best fit a particular model under AICc. In each column, the entries represent the ratio for which the best fit model fits significantly better than other models (see “Do some models really fit better than others?”). For instance, the second column shows that among 36 data sets that ID best fits the data, the ratio that ID fits significantly better than FIC, PMM, PA and OU are 0.86, 0.94, 0.89 and 0.86, respectively.