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The paper presents the results of testing the method on a collection of imbalanced data sets with various imbalance ratios and various numbers of subclasses.
Numerical results under two imbalance ratios between cooling and heating load are analyzed to evaluate the potential of geothermal energy in the present application.
ROC analysis can provide insight about how well the classifier can be expected to perform in general, at a variety of different class imbalance ratios and therefore, against different random baselines that could correspond to these ratios.
The imbalance ratios (number of negative examples divided by number of positive examples) varies greatly for the baseline classifiers.
We evaluated the proposed method by using eight multiclass cancer DNA microarray datasets that have different numbers of classes, genes, and samples, as well as class imbalance ratios.
In our case dermoscopy and microarray data had class imbalance ratios of disease to healthy samples: 70 : 972 and 45 : 18, respectively.
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imbalance ratio.
In addition, the imbalance ratio changes to analysis patterns.
Additionally, one should analyze not only the imbalance ratio but also the characteristics of the objects within each class.
Then we investigate the imbalance ratio due to the capacitance as functions of voltage and length by using Electromagnetic Transients Program EMTPP).
After inverse multiplication of the energy imbalance ratio, ET by the eddy covariance method (ETEC) was 839.9 mm in 2007 and 811.8 mm in 2008.
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CEO of Professional Science Editing for Scientists @ prosciediting.com