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From the results, DBN model is sensitive to the scales and depths of the architecture as there are obvious differences between the classification rates from different networks.
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We also saw, that some feature extraction methods are rather sensitive to the right combination of the DC method and interpolation method, while for other features the resulting variations in the classification rates between different combinations are not very high.
Table 2 shows the classification rates for each SVM model.
How do the distortion differences affect the classification rates?
Although the classification rate varied widely between different subjects, their results are promising for the use of auditory ERP as a feature for BCI.
The higher the classification rate, the higher the correlation between the primary data and the label.
In Chappaqua, one of the county's wealthiest districts, the classification rate has been traditionally low.
The percentage of correctly marked ones gives the classification rate.
To test whether the amount of unconscious information differed between the highest classification rate region in the temporal and frontal lobes we compared the prediction rates in the left posterior STS and left middle frontal gyrus.
In the canonical case with equal utility weights for hits and misses and (pi =0.5,) the optimal operating point maximizes the distance between the average correct classification rates and 0.5, the average correct classification rate of an uninformative classifier.
But in the 10 districts with the highest classification rates in 1997, the average rate has dropped to 11.5percentt, from 13.5percentt.
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