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The PCM models outperform the QSAR models (on all datasets and with all descriptors).
The traditional models outperform the linear model when the standard deviation is small.
Moreover, our 5d QM QSPR models outperform the models from Svobodova and Geidl.
The results show that the proposed models outperform the commonly used methods.
It reveals that micro-simulation noise models outperform the other approaches.
In addition, the developed models outperform the literature correlations for prediction of heat capacities of ILs.
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The correlated random effect models outperformed the others.
The FLR models outperformed the MLR ones (p > 0.01).
The results reveal that the proposed models outperformed the standardized MGGP models.
Results showed that our two models outperformed the previous spatial GLM and the hot spot model.
In general, the two ANN-based models outperformed the GP model in terms of several indices.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com