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The derived models were reliable as indicated by Radjusted2 values between 0.75 and 0.86.
The results were tested with independent validation datasets, which indicated that the models were reliable for SOM estimation with predictive accuracy in the following sequence: PLS BPNN model > PLS > DI NDR554, NDR1398).
The results of this study showed that the lack of fit p value for extraction yields, DPPH scavenging activity and TPC were 0.5283, 0.4192 and 0.8721, respectively, indicating that all the developed quadratic polynomial models were reliable and accurate for predicting the relevant responses.
Few models were reliable when applied to independent data; therefore, our results indicate that models cannot be assumed to be applicable in different years or applied outside the area where the model was developed, even with similar spatial and temporal contexts.
We used the average test-data AUC, which showed that 52 species distribution models were reliable (i.e. accurate and stable, Table S1).
These constructed models were reliable due to high R values.
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If the new models are reliable, there should be no problem hanging on to the permanent at-sea presence that defence bosses favour.
The results showed that the 3D-QSAR models are reliable.
The model comparisons show that the new developed models are reliable, fast, and correspond with previous results of other models.
Experimental determination of these properties is expensive and time-consuming; however, empirical models are reliable tools to predict these properties.
An important stage in the FE modeling of structures is to make sure that the simulated models are reliable and have enough accuracy.
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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