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After receiving an introductory lecture the previously untrained participants of our study gave a correct rating of characteristic video sequences in nearly 90% of cases, which corresponded to a κ-coefficient of 0.73.
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It demonstrates a high correct rate of classifications.
Moreover, the less training samples also caused the fluctuation of low correct rate of prediction.
Figure 2 Correct rate of throat polyp prediction under different Q with P = 2,000.
Figure 4 Correct rate of throat polyp prediction under different number of samples.
Figure 3 Correct rate of throat polyp prediction under different random measurement matrices.
Figure 4 Correct rate of throat polyp detection under different compression ratio.
We can see that the correct rate of prediction is about 50% with small fluctuations.
However, the correct rate of diagnosis for headache disorders is extremely low.
The correct rate of segmentation is 89.60% through the test of 30 similar images of Lingwu long jujubes.
Accuracy or correct rate of classification is the efficiency of appropriate classification to the total number of classification tests [19].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com