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It finally proposes a common framework for reconciliation of the two classification approaches and quality assurance.
Table 2 illustrates the testing accuracy achieved by the network with respect to the two classification tasks.
In this investigation experimentally obtained spectral data was taken from the surface of the food and then analysed allowing direct comparison of the two classification methods.
The AUC (A z ), which is the area under the ROC curve, is used to compare the performance of the two classification methods.
This in turn allowed us to validate the two classification models (SMM and MMM) further, and more comprehensively scrutinise our hypothesis proposed in this work.
We used the same sample with 153 enterprises to conduct the empirical research, and applied the two classification methods mentioned above under two types of index systems.
Hierarchical cluster analysis (HCA) and principal component analysis (PCA) were applied to compare the two classification methods between genetic and phytochemical taxonomy.
Of the two classification methods for classifying the genus Rhodiola samples, HCA results showed considerably comparable results for both the genotype- and chemotype-based classification methods.
In order to enable efficient inference in the two-layer higher order CRF, we propose an iterative inference procedure in which the two classification tasks mutually influence each other.
After that, we will describe the computation of mutual information between different sampling rates and the two classification models to choose the appropriate sampling rate with high utility information but low privacy information.
However, looking into the statistics of the two classification results obtained by the two approaches revealed that at the significance level of 0.05 and one degree of freedom a McNemar's test yielded a (chi ^{2}) value of 4.290.
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