"Modelling quality" : how much important is it ?

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I often ignored "Modelling quality" in Test report.

I read much on this site on the so-called "Modelling quality" (presented in %),

but honestly speaking I understand nothing about it.

Should you kindly just tell me how important it is,

what if a report with Modelling quality is 25% and another is 80%.

What can we conclude from such a difference on "Modelling quality" ?

Which parameters can affect to "Modelling quality" ? (spread of test ? Period ? ...)

Thanks for any contributed explanation

Because I know nothing about it, please explain as lengthy as you can :-)

[Ubzen]

dahumeovn:

but honestly speaking I understand nothing about it.

What can we conclude from such a difference on "Modelling quality" ? 

Which parameters can affect to "Modelling quality" ? (spread of test ? Period ? ...) 

1) If you don't understand then just consider it very important.

2) 80% is better than 25%.

3) Period can affect. Example Period_m1 vs Period_m5.

For those who know what they're doing, how the EA is programmed vs tester limitation vs use in real-life is more important than the modeling quality.