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Evaluate the temporary subset after adding a new feature by analyzing the classification accuracy array.
Step 6 mentions that a classification accuracy value on validation set is got after each training series, so when the network training is finally over, an array of classification accuracy is got which will be used in Step 9. Step 9. Evaluate the temporary subset after adding a new feature by analyzing the classification accuracy array.
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The discriminating power of the descriptors are compared on the datasets without added noise by analyzing the combined classification accuracy of the tenfolded cross-validation.
We validate our metric by analyzing the accuracy of classification when using a subset of features selected by our metric.
We tested this hypothesis by analyzing the distribution of WHO classification terms in the amplification modeling-based clustering of cancer cases.
By analyzing the labeling error types, we slightly revise our classification scheme and propose six methods to improve the classification and labeling system, hoping to achieve even better agreement in the future.
The discriminant classification features are obtained by analyzing the atoms parameters.
In order to quantify the difference between the populations, we evaluated the classification performance of the predictability values between them by analyzing the area under ROC.
The testing is done by analyzing the 2 × 2 contingency table of correct and incorrect classifications for the two choices of a, using the McNemar test [ 44].
The classification of highlights, which can also be operated in the compressed domain, will then be facilitated by analyzing the video segments of interest only.
The source data of test bed are wave patterns being generated in NS2 and subsequently are analyzed by the classification algorithm in Matlab.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com