Table 40 Comparative prediction accuracy metrics for SO\(_1\)–SO\(_6\) using regression analysis.

From: Data-driven regression analysis of amylose using Sombor molecular descriptors

Descriptor

MSE

MAE

\(\hbox {Q}^2\) score

SO\(_1\)

\(4.04 \times 10^{-28}\)

\(1.42 \times 10^{-14}\)

0.8998

SO\(_2\)

\(2.35 \times 10^{-28}\)

\(1.51 \times 10^{-14}\)

0.9969

SO\(_3\)

\(1.95 \times 10^{-28}\)

\(1.26 \times 10^{-14}\)

0.8966

SO\(_4\)

\(3.12 \times 10^{-28}\)

\(1.67 \times 10^{-14}\)

0.9671

SO\(_5\)

\(2.81 \times 10^{-28}\)

\(1.48 \times 10^{-14}\)

0.9831

SO\(_6\)

\(3.59 \times 10^{-28}\)

\(1.72 \times 10^{-14}\)

0.8821