Table 2.

Model summary with count and percent of predictions within ± 0.5 h, 1 h, 1.5 h, 2 h and greater than 2 h for the statistical and dynamic model training and tests datasets.

Statistical model
	Training dataset (n = 77)				Test dataset (n = 77)
Mean error ± SD (min)	0.02 ± 52.51				− 4.39 ± 56.87
Mean absolute error ± SD (min)	39.62 ± 34.15				44.58 ± 35.21
Root mean square error (min)	52.17				56.67
R	0.766				0.778
R2	0.587				0.605

	n	n Cumulative	%	%Cumulative	n	n Cumulative	%	%Cumulative
Predictions within ± 0.5 h	37	37	48.05	48.05	30	30	38.96	38.96
Predictions within ± 1 h	25	62	32.47	80.52	28	58	36.36	75.33
Predictions within ± 1.5 h	9	71	11.69	92.21	12	70	15.58	90.91
Predictions within ± 2 h	4	75	5.2	97.4	4	74	5.2	96.1
Predictions > 2 h	2	77	2.6	100	3	77	3.9	100

Dynamic model
	Training Dataset (n = 76)				Test Dataset (n = 77)
Mean Error ± SD (min)	− 1.22 ± 63.15				− 4.11 ± 67.91
Mean Absolute Error ± SD (min)	47.53 ± 40.20				48.40 ± 40.20
Root Mean Square Error (min)	62.74				67.60
R	0.655				0.692
R2	0.430				0.479

	n	n Cumulative	%	%Cumulative	n	n Cumulative	%	%Cumulative
Predictions within ± 0.5 h	29	29	38.16	38.16	19	19	24.68	24.68
Predictions within ± 1 h	24	53	31.58	69.74	26	45	33.76	58.44
Predictions within ± 1.5 h	13	66	17.11	86.84	18	63	23.38	81.82
Predictions within ± 2 h	5	71	6.58	93.42	10	73	12.99	94.81
Predictions > 2 h	5	76	6.58	100	4	77	5.19	100