[Response] Thanks for your comments. We have revised it in
the Manuscript. Line 255-257.
33. How does the author know that
these errors are low enough? How do they compare to the standard
deviation of the reference values of TPC, TGP, THP, OTG, AV and PV?
Could these errors be simply a reflection of the standard deviations of
each index?
[Response] The Mean Square Error (MSE) lower than 1 in the
model indicated excellent classification performance and prediction
ability (Cavanna, Righetti, Elliott, & Suman, 2018). The MSE is
different from the standard deviation (SD) of each index, the MSE is the
square root of the ratio of the sum of the squares of the deviation
between the observation value and the true value to the number of
observations. It is used to measure the deviation between the observed
value and the true
value.