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The phrase "as good based" is not correct and does not make sense in written English.
It seems to be an incomplete or incorrect expression, and it is unclear what context it is intended for.
Example: "The results were not as good based on the previous data."
Alternatives: "as good as" or "based on".
Exact(5)
"I think formula is just as good based on my son's growth percentile".
Will Glass be judged as good based on its ability to entertain?
A recent statewide study in California found that barely 20percentt of preschool classrooms qualified as good based on observation with the Early Childhood Environment Rating Scale Revised Edition with less than 10percentt of private child care centers scoring good or better (Karoly, Ghosh-Dastidar, Zellman, Perlman, & Fernyhough, 2008).
However those women that receive antenatal care at health centres do not necessarily complain about the services received as they regard care in those settings as good based on the familiar, courteous and personalised care that they receive.
Against this background and with a view to the rather low number of items on each content, the internal consistency can be appraised as good (based on the standard by Nunnally and Bernstein [ 59]).
Similar(55)
For AV, EV and Mpn the m-RT-PCR-ELISA preliminary could be qualified as very good, based on the data derived on culture supernatants.
(And for customers the service is very good, based as it is on a universal service obligation, which this bill makes clear is not now sacrosanct).
Image quality will be subjectively rated as poor, fair, or good based on wall clarity.
Yet the predictions based on the developed model are at least as good as those based on the ordinary non-parametric method, showing the potential of the developed model.
If the structural details of the distribution we inferred were idiosyncratic, then predictions based on the simplified "moment-matched" distributions should be as good as those based on the inferred distributions.
The results indicate that both methods perform adequately, and the Gaussian naïve Bayes classifier provides estimates as good as those based on the linear discriminant analysis for the given data set.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com