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C is the parameter that controls the tradeoff between the correct classification and large margin.
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This is reasonable as the correct classification between gray and white matter voxels is not critical when using T2*-images at low spatial resolution.
In [ 27], the authors used SVMs trained and gene subsets selected in the training set to classify samples in the test set, resultng in the correct classification of between 30 and 32 of the 34 samples.
In the other pairs for which the correct classification rate was increased, the distance between mean responses was decreased.
The correct classification is Sadness.
The correct classification rate was 75.8%.
For the classification problem, number of rules and the correct classification rate are the fundamental requirements.
We also include in Table 1 the correct classification ratio.
In Table 2, the correct classification rates are shown.
At this point (for ), the correct classification of speech was about 78% and the correct classification of noise was about 50% (see Figure 3).
Additionally, we used the correct classification rate (CCR) to evaluate accuracy for the classification of the CS label experiment.
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