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The obtained accuracy is 87%%.
The obtained accuracy was of ∼1%.
The obtained accuracy is 100%% for both classification methods.
Dilution of precision factor is responsible for the obtained accuracy.
If this would be the case, this would have a negative impact on the obtained accuracy.
The obtained accuracy is fully acceptable in case of impedance measurement of anticorrosion coating in the field.
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We have then compared the obtained accuracies for the Naive Bayes and support vector machine classifiers.
However, if the training set suffers similarly from the degradations, the obtained accuracies are significantly higher.
Although not satisfying, the obtained accuracies of the proposed methods for PaviaU data set are so close to the results obtained by the MSSC-MSF method [23].
The obtained accuracies using this method are 66.94% (Wang) and 65.74% (van de Vijver).
As we have used both learning and prediction sets in the parameter tuning, the obtained accuracies must be considered as best-case scenarios.
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