Transferability of a Machine Learning-Based Model of Hourly Traffic Volume Estimation—Florida and New Hampshire Case Study

Table 2

The detailed results for different approaches.

	R2				MAPE (%)				EMFR (%)
	Base	Fl	TL	Ext	Base	Fl	TL	Ext	Base	Fl	TL	Ext
Mean	0.72	0.34	0.77	0.81	43.3	61.0	34.4	34.9	8.12	12.61	7.36	7.15
Std	0.49	1.30	0.30	0.13	47.6	43.8	26.1	29.0	4.03	7.52	2.75	2.23
min	−2.46	−8.31	−1.08	0.06	16.2	27.9	14.1	16.0	4.44	7.52	4.27	4.67
25 per.	0.76	0.54	0.76	0.78	22.7	40.8	20.8	21.4	5.85	8.20	5.93	5.79
50 per.	0.82	0.70	0.85	0.84	26.9	49.0	26.9	25.5	7.04	9.95	6.67	6.68
75 per.	0.88	0.80	0.89	0.88	37.6	59.6	34.0	34.2	8.40	13.96	7.90	7.69
max	0.94	0.92	0.95	0.94	311	286	149	182	28.3	48.0	20.8	20.0

Bold values indicate mean and median values.