Sentence examples for whereas classification from inspiring English sources

In case of Glass dataset, our method yields around 60 70% classification accuracy for decision trees, random forest and KNN classifiers whereas classification accuracy with SVM is only 22 24%.

Classification of IAH as acute and with high IAP grades (III-IV) is typical for surgical patients, whereas classification of IAH as subacute and with low-moderate IAP grades (I-II) is characteristic for medical patients [17 21, 35].

Predictive and validated regression models (2D and 3D QSAR and ligand-based pharmacophore mapping studies) were utilized for estimating the potency whereas classification models (Bayesian and recursive partitioning analyses) were used for determining the selectivity of MMP-2 inhibitors over MMP-9.

If mitochondrial donors are to be treated in the same way as 'traditional' egg donors then the regulatory position is clear (Nuffield Council on Bioethics. 2012b), whereas classification as tissue/organ donors would involve a demarcation between 'egg' donors and 'mitochondrial' donors.

a Group I introns were classified according to Michel and Westhof [66], whereas classification of group II introns was according to Michel et al. [65].

b Group I introns were classified according to Michel and Westhof [38], whereas classification of group II introns was according to Michel et al. [39].

Whereas subject classification creates harmony and encourages serendipity; indexes fracture knowledge into snippets making us stupid.

Only one sample out of 26 was erroneously classified in the training set, whereas a classification rate of 100% was obtained in a external validation set of 16 samples.

Acceptable near-to-discomfort limits for local pedestrians are considered whereas PET classification heat stress levels are adjusted to local conditions by applying a correction equation to obtained PET values.

It was observed that classifying these plots successfully was difficult with LDA, whereas the classification accuracy could be slightly improved by first excluding the ≥ 95%% class and later manually sub-selecting these plots based on the determined threshold values.

Whereas traditional classification of childhood asthma is primarily based on clinical symptoms like wheezing and atopy, novel approaches to specify asthma phenotypes are under way and face challenges such as including the stability of phenotypes over time and transition into adulthood.