Table 4. Main Jackknife validation results for the Pruned GP Model.

Parameter	${\mathit{\beta }}_k^{MSE}$	${\mathit{\beta }}_k^{*}$	Confidence Intervals (α = 0.05)	p-value
β1	8.79 × 10−3	9.03 × 10−3	± 6.75 × 10−2	1.73 × 10−15
β3	-5.40 × 101	-4.88 × 101	± 2.28 × 101	3.52 × 10−74
β4	4.39 × 10−1	4.46 × 10−1	± 1.75 × 10−1	2.22 × 10−75
β5	1.48 × 102	4.133 × 101	± 2.48 × 102	1.28 × 10−44
β6	1.01 × 102	1.01 × 102	± 9.12 × 10−4	1.65 × 10−307
${\mathit{R}}_{\mathit{T}rain}^2\left({\mathit{\beta }}_k^{MSE}\right)$	${\mathit{R}}_{\mathit{T}rain}^2\left({\beta }_k^{*}\right)$	${\mathit{R}}_{\mathit{T}est}^2\left({\beta }_k^{MSE}\right)$	${\mathit{R}}_{\mathit{T}est}^2\left({\beta }_k^{*}\right)$	M SEjk
0.854	0.646	0.575	0.610	1.57
$\mathit{A}IC{c}_{\mathit{T}rain}\left({\beta }_k^{MSE}\right)$	$\mathit{A}IC{c}_{\mathit{T}rain}\left({\beta }_k^{*}\right)$	$\mathit{A}IC{c}_{\mathit{T}est}\left({\beta }_k^{MSE}\right)$	$\mathit{A}IC{c}_{\mathit{T}est}\left({\beta }_k^{*}\right)$
1.81 × 102	2.28 × 102	4.60 × 101	4.44 × 101