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With regard to sensitivity, M models performs best, showing gradually decreasing values.
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Based on our analysis using cross-validation and external validation, RF models perform best for all the three targets and PNN models show the least performance (Additional file 1: Tables S3, S4).
Overall, classic Porsche models performed best, while more modern supercars from the 1970s and 80s, like the Lamborghini Countach and Ferrari F40, are growing in popularity.
Sunshine duration-based models performed best, and cloud cover-based models performed worst.
Apple doesn't break out specific device numbers, so it's hard to tell which models perform best.
In terms of relative RMSE the models performed best with thresholds of around 0.1.
When locally calibrated, the more complex rainfall runoff models performed best.
Agricultural land use surrounding wetlands was an important predictor for all four MMIs, although the soil, algae and water MMI models performed best when intensive (level 3) vegetation metrics were also included in the random forest regression models.
That's partly because it's not entirely clear which business models perform best in this nascent sector.
All models performed best when the reference model RF was used.
The dipeptide-based SVM models performed best among the rest of the models.
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CEO of Professional Science Editing for Scientists @ prosciediting.com