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The goodness-of-fit tests suggested that both models were good fits.
It proved that my models were good, and it repaid the trust that had been placed in me".
He wasn't sure his models were good enough for policy decisions to be based on them.
Conclusions: Both CRASH and IMPACT prognostic models were good in discriminating between favourable and unfavourable long-term neurological outcome for patients with severe TBI requiring decompressive craniectomy, but the calibration of the IMPACT full-model was better than the CRASH model.
The reduction of the misfit from the initial to the final model is as small as 14% for Area A and 2% for Area B. This small reduction indicates that the initial 1-D models were good enough compared to other choices for the initial model, such as a uniform half space, which is frequently used for inversion analyses (Baba et al. 2013a).
The Ramachandran dihedral statistics [49], [59] for both models were good; eEF1A1: 93.6% most favored, 5.1% additionally allowed, 1.1% generously allowed, 0.3% disallowed; and eEF1A2: 92% most favored, 6.7% additionally allowed, 1.3% generously allowed, 0% disallowed.
Similar(53)
"The models were good-looking, and it was a great time for American fashion".
These models were good-fit models based on the large-scale dataset (HL statistics < 15.0).
While prices quickly escalate into hundreds of dollars, the following basic models are good gifts for the discriminating listener, who may even want different headphones for different purposes.
Phoneme-based models are good at capturing phonetic details.
The challenge is to know when the models are good enough.
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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