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The Redlich Peterson and Freundlich model gave better fitting as compared to Langmuir model for individual adsorption.
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Based on the coefficient of determination (R2) calculated from the design data, ANN model displayed much more accurate in data fitting as compared to RSM model.
Another methodological problem of comparative cognition is that paradigms are applied to many species, but with slightly converted methodologies (better fitting the newly compared species' demands), hence at a cost of comparability.
A model with base 2 log-transformed variables showed better fitting (observed-expected) compared to non-log-transformed variables (AIC X 2: 18.05 and 15.89, respectively).
For instance, ANN algorithm is more prone to over-fitting as compared to SVMs [ 67].
This results in better restoration of image and better contrast as compared to the CBD.
Females had better tibial coverage as compared to males.
WRSR performs better as compared to other wormhole detection mechanisms.
The M2 model series showed significantly better fitting and bias results compared to the M1 series.
The Random Forest classifier has been shown to be relatively free from the over-fitting problem as compared to other machine learning methods.
Model 2 was considered to have better fit with smaller value of AIC as compared to Model 1. Re-fitting Model 2 with different correlation structures (i.e., spatial autocorrelation functions and compound symmetry correlation structures) did not significantly improve model fit.
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CEO of Professional Science Editing for Scientists @ prosciediting.com