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Fig. 7 Accuracy of classifiers.
Second, since SSL exploits unlabeled data, the accuracy of classifiers is generally improved.
They tried to increase the accuracy of classifiers by labeling the training set manually and then recognized the emotion tendency of the original text.
Different optimization algorithms such as Particle Swarm Optimization (PSO) and Simulated Annealing (SA) have been used to enhance the accuracy of classifiers.
Lastly, the fourth aim is to experimentally evaluate variation in the accuracy of classifiers for six different real situations in order to identify the impact of spatial and spectral diversity on results.
We have shown that combining the expression data from gene pairs increases the accuracy of classifiers.
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The specificity of a classifier is the accuracy of classifier to correctly predict the negative cases in the data set.
Monte-Carlo cross-validation was used to determine the accuracy of classifier predictions for different cut-offs [ 23].
In this comparison, the accuracy of classifier learnt by PLF is 91.56% which is about 18% higher than the classification accuracy with CLF (73.44%).
Improved accuracies of classifiers on U2R and R2L attacks have been recorded in the experimental results obtained for experiments conducted.
We are motivated to improve the classification accuracies of classifiers using an ensemble method that uses feature-class and feature-feature mutual information to combine different subsets of features.
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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