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Results have shown high classification success rate, together with the model robustness and insensitivity to variations of bone mechanical properties.
Altogether, our approach has shown high classification accuracy and specificity for both arteries and veins, which is at least analogous to the certified classification systems reported in the literature.
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They both show high classification accuracies and low standard deviations over different orientations.
For this analysis we selected a subset of four subjects that showed high classification accuracies in all the modalities (subjects nr 4, 5, 7, 14).
As expected, these genes showed high classification performance, with classification accuracy ranging from 79%to97%79%to97%
The proposed feature descriptor showed high classification rate for both liver and prostate data sample datasets.
SVM reached the highest performance in the intratumoral area for the combination of rCBV and NAA/Cr, Cho/Cr and (Lip + Lac)/Cr ratios, whereas in the peritumoral area both SVM and Naïve-Bayes showed high classification performance using NAA/Cr and rCBV as features.
The RBF network, IBk and IB1 classifiers showed higher classification performance as opposed other classifiers.
Experimental results based on benchmark and real-world data show that, compared to their competitors, our feature weighting approaches show higher classification accuracy, yet at the same time maintain the simplicity and lower execution time of the final models.
Here we present the importance maps for animal/tool classification in all three modalities (pictures, spoken and written words), averaged over five subjects that showed highest classification performance in each modality (Figure 5).
Pathway based similarity measuring method shows higher classification 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