Table 2. Statistical assessment of classic biochemical models.

					$R_{Train}^2$		$R_{Test}^2$		AICcTrain		AICcTest
Model	Parameters*	${\beta }_k^{MSE}$	${\beta }_k^{*}$	CI**(${\beta }_k^{*}$) (95%)	${\beta }_k^{MSE}$	${\beta }_k^{*}$	${\beta }_k^{MSE}$	${\beta }_k^{*}$	${\beta }_k^{MSE}$	${\beta }_k^{*}$	${\beta }_k^{MSE}$	${\beta }_k^{*}$	GE***
Hill	$K_m^{fit}$	1.05 × 101	5.45	± 6.58 × 101	0.816	0.760	0.135	0.210	1.88 × 102	2.03 × 102	5.02 × 101	4.87 × 101	1.823
	$V_{max}^{fit}$	8.09 × 10−3	6.02 × 10−3	± 3.35 × 10−2
	nfit	1.52	1.46	± 7.04
$MM(K_m^{fit},V_{max}^{fit})$	$K_m^{fit}$	2.85 × 101	2.41 × 101	± 1.46 × 102	0.813	0.724	0.150	0.151	1.86 × 102	1.87 × 102	4.65 × 101	4.65 × 101	1.820
	$V_{max}^{fit}$	1.44 × 10−2	1.28 × 10−2	± 5.19 × 10−2
$MM(K_m^{Linder},V_{max}^{fit})$	$K_m^{Linder}$ [52]	7.00	-	-	0.754	0.754	0.199	0.200	2.02 × 102	2.02 × 102	4.55 × 101	4.54 × 101	2.106
	$V_{max}^{fit}$	6.99 × 10−3	7.00 × 10−3	± 4.11 × 10−3
$MM(K_m^{exp},V_{max}^{fit})$	$K_m^{exp}$	1.04 × 101	-	-	0.784	0.784	0.194	0.195	1.95 × 102	1.95 × 102	4.56 × 101	4.55 × 101	1.923
	$V_{max}^{fit}$	8.23 × 10−3	8.23 × 10−3	± 4.46 × 10−3
$MM(K_m^{exp},V_{max}^{exp})$	$K_m^{exp}$	1.04 × 101	-	-	-0.550	-	0.645		3.01 × 102		3.08 × 101		-
	$V_{max}^{exp}$	1.45 × 10−2	-	-

* Parameters units:

K_m: [µM]

V_max: [µM min⁻¹]

** Confidence Interval

*** Generalization Error