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The TS2 with two inputs parameter, i.e., H and Qt−1 was the best among the other models with lowest RMSE (8.17) and R 2 (0.88).
Table 4 presents the statistical performances of M5 decision tree models in which the model whose inputs were Ht and Q t−2 (input combination 2) was the best model among all other developed models with lowest RMSE and R 2, 8.10 and 0.88, respectively.
In the case of model bias removal, testing several sieved models in a typical post-MR refinement protocol showed variability in crystallographic Rfree values, which allowed models with lowest Rfree, and thus lowest model bias to be identified and chosen as the most promising starting models for structure refinement.
Alternatively, the model uncertainty can be evaluated by comparing all models with lowest AIC score.
In particular, values of minimal energy consumption at the higher temperature were similar for the subgroups of models with lowest and highest temperature dependence.
With the exception of the models with lowest LD amounts, there was little difference in the signal sensitivities between analyses with one or both functional SNPs removed.
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Additionally, he said, instead of paying $1,500 a month on a lease for a brand new vehicle, drivers increasingly opt for gently used top-of-the-line two-year-old models with low mileage, spending a mere $800.
During the recession, consumers stopped buying new vehicles and automakers trimmed production, eventually creating a shortage of the most sought-after used vehicles — later models with low mileage.
ANNs and fuzzy systems learn models with low error.
A language models with low perplexity indicate more predictable language.
The scatter plots further confirm the reliability of the QSAR models with low outliers.
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CEO of Professional Science Editing for Scientists @ prosciediting.com