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Exact(22)
The rate of classification following training is greater than 93%.
It is also shown that CLNN has the capability of improving the convergence rate of classification.
These plans estimate the rate of classification errors and set plan parameters to reduce the potential impact of such errors.
Accuracy or correct rate of classification is the efficiency of appropriate classification to the total number of classification tests [19].
The rate of classification subsequent to the training is more than 92%. Figure 31 shows several face examples, and Table 4 presents experimental results.
Table 9 shows the rate of classification accuracy obtained by naïve Bayes, k-NN, and SVM using the 'original' and '+2D' features, respectively.
Similar(38)
It demonstrates a high correct rate of classifications.
In addition, the datasets, which produce higher rates of classification accuracy using the distance-based features, have smaller numbers of data samples, smaller numbers of classes, and lower dimensionalities.
To assess the true error rates of classification, we conducted a manual audit using the treatment records of 1,000 randomly selected patients.
The inclusion of cases with an uncertain condition (i.e. patients characterized as glaucoma suspects) would adversely affect the false positive and negative rates of classification and our evaluation of specificity and sensitivity rates of the classifier.
Incorrectly chosen GMM model of gender type which is subsequently applied for emotion classification has no influence on stability but practically causes large error rate of emotion classification.
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