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Both the models show satisfactory results although LR model using equal number of landslide and non-landslide pixels shows slightly accurate results in total.
Table 3 shows the results of overlaid landslide data for validation on LSM for LR model using equal number of landslide and non landslide pixels (test 1 10) were better than for FR model, and at this point this study concludes that the seventh test in LR model was the best fit of model because the value is the highest.
As three features were positively correlated and one was inversely correlated, the final additive model using equal weighting was as follows: malar + arthritis + neurologic disease − oral ulcers.
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Unordered information such as gender and context was integrated in the acoustic models using equal and decoding questions.
Our proposed method of confidence ellipses is also flexible here as it can be applied to evaluating extensions of prediction models using equal or different weights as well as thresholds of acceptable model improvement for cases and non-cases as already discussed by Greenland [ 10].
In [7], building on the classical water-pouring algorithm, authors proposed an antenna selection algorithm based on partial water pouring over the strongest channel model but using equal power allocation.
Number of field plots needed to reliably estimate the mean model substratum ACD using equal range binning.
Number of field plots needed to reliably estimate the mean model substratum ACD using equal range binning colored by environmental variables.
In this study, the logistic regression model is developed using equal proportion of landslide and non-landslide pixels in ten iterations and using 50%% and all non-landslide data as comparison.
The spectrum kernel (Leslie et al., 2002) counts pairs of identical k-mers independent of their position and can be modeled with (2) by using equal weights at each position i∈{1,…, L} (analogously for the spectrum kernel with mismatches, (Leslie et al., 2002).
The MOGA was run on the ethanol model using both equal-weighted and thermodynamic-weighted EMs subject to the two following fitness functions (those from Eq. 5 and Eq. 6): (10) (11) The computation time for these MOGA simulations was much greater than the single-objective GA simulations, as expected.
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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