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The best performing tree in terms of classification performances is chosen by PART and converted to rules for every species.
Regarding the classification performances of different learning classifiers, on average, NBC, NMSC, and SVM performed better than UDC.
The classification performances were within the range of 90 98%.
In the experiments, the classification performances from various input features are evaluated.
Secondly, the best classification performances were returned by the SNB approach for all three data sets.
Finally, we compare these two rates with the final classification performances in order to detect correlations.
A comparative study of the classification performances of different variants of mAIS.
Figure 9 The classification performances of each LLD in terms of unweighted average recall.
Therefore, it can be regarded as a reasonable indicator of classification performances.
Implementing this framework, the classification performances were further improved for most subjects.
Table 3 Classification performances of different classifiers using the spectrogram as input.
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