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As can be seen, the bootstrap-corrected percentage of correct classifications is 92%.
Diagonal values indicate correct classifications.
Therefore, true positives and true negatives are correct classifications.
The CIB features provide 88% of the correct classifications.
Accuracy: The percentage of correct classifications (values from 0 to 100).
The analyses involve descriptive statistics such as percentage correct classifications with corresponding mean confidence ratings.
Diagonal values indicate correct classifications Fig. 10 Examples of menu-localization stimuli.
In evaluating binary classification accuracy, a simple proportion of correct classifications is often inappropriate.
Accuracy rate: only measures the percentage of correct classifications attained by the algorithm.
After the disagreement analysis, we built the final training sets with the correct classifications.
The combination of PLS and ANN techniques allowed the discrimination between different brands of beer with 83% of correct classifications.
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