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The best classification setups are DT + FS, DT + BS, DT + SFFS.
In addition to the ROC curve analysis which is used to evaluate the performance of best classification setups.
In the summary section, the average classification accuracies are calculated based on LR, DT and SVM classification setups.
It was decided to develop online cardiac chest pain prognostic models based on LR based classification setups which are shown in Table 15.
The confusion matrices for LR, DT and SVM based classification setups and weighted classification accuracies are reported in Tables 3, 5 and 6.
The confusion matrices of LR, DT and SVM based classification setups and weighted classification accuracies are provided in Tables 11, 12 and 13.
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Towards handling larger HTS assays and exploiting the set of common active interactions as a factor for improving classification performance, we explore formulating the problem as a multi-label classification (MLC) instead of the conventional binary classification setup.
Lin et al. (2008) also pointed out some possible methodological flaws in the classification setup of Baranzini et al. (2005), which resulted in overly optimistic prediction accuracy values in the original paper.
The classification is setup to analyse PBAF performance by relaxing the constraints for compensating the usability issues.
The automatic classification systems setup for a five-emotion (neutral, anger, sadness, happiness and boredom) classification problem on the LDC corpus was implemented in a speaker-independent configuration.
Organism constraints examined included player classifications, wheelchair setup, training and intrinsic injury risk factors.
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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.

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