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The validation of the models showed relatively high accuracy.
Compared with the other models, the MPLE and RF models showed relatively larger AD coverages, but the RF models could give better predictions to the test set than the MPLE models.
The standard error of the WLW model was the largest, while the PWP-T and PWP-G models showed relatively small values.
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Validation results show that the reduced nonlinear model performs better compared to the linear model, however, both models show relatively large errors compared to the real plant data.
The model showed relatively good discrimination, with an AUROC of 0.852 955% CI, 0.829 0.876; Figure 6).
The proposed growth kinetics model shows relatively in good agreement with experimental data.
In the range of lower degree of saturation (5%20%%), the modified network model shows relatively higher thermal conductivity than the laboratory measurements.
Between 36°N and 38°N, E-W trending slices of the resistivity model show relatively high-conductivity (∼10 100 Ωm) lithospheric mantle of the Western Block that extends eastward beneath the relatively high-resistivity lithosphere of the TNCO at depths from 80 to 180 km.
Three models showed a relatively high degree of explanation of variance: those for mood swings (34%), depression and grief (46%), and sum score of psychosocial distress (45%).
Across an idealized gene model, average RPKM values showed relatively high coverage in promoters, steadily decreasing 5' to 3', with a small peak 5' of the minimum at the transcription start site.
However, these models all show relatively mild phenotypes.
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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