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This seems to imply that some common features allow for a good classification of the top level.
The important point in this observation is that a good classification of the latent process r is a sufficient but not a necessary condition for good ICA estimation.
We observe that the bad classification of pixels in the Fig. 5c is corrected in this stage providing a good classification of blue whales and background.
The results have shown a good classification of the grape varieties and the identification of the mixtures with Pinot Noir up to 75%.
The discriminant functions applied showed a globally good classification of 99.79% for the best model Class="−96.067+1.988×102X0Av+91.907BIC3+6.853CIC1 in the training set.
While in the prediction set, they showed an overall predictability of 88%and84%4% for active and inactive compounds, being the global percentage of good classification of 85%.
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The model has presented a suitable probability of good classification for the external prediction data set.
We observed a good concordance (Fig. 3d) with a good classification rate of 0.839, a kappa index of 0.628, and sensitivity and specificity equal to 0.975 and 0.609, respectively.
These demonstrated that the data length of 300 ms can achieve good classification results of SEMG signals and the classification accuracy was not significantly improved after the data length exceeded 300 ms.
Seven of the eight single genes had relatively good classification performance, of which five genes had established names: NRP2, TMSB15A, PEDF, FAM107A and TGFB3.
The plots of the first two discriminant functions (DF1*DF2) indicate good classification performance of the SPA LDA analysis (Fig. 4).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com