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Figure 8 | BMC Bioinformatics

Figure 8

From: Boosting accuracy of automated classification of fluorescence microscope images for location proteomics

Figure 8

Dependence of image set classification accuracy on set size and feature set size. Panel A depicts classification accuracy for sets of images drawn from the same class. The accuracy obtained using plurality voting was averaged on 1000 random trials of image sets of various sizes drawn from each class in the test set by using the optimal majority-voting classifier for feature set SLF8 (filled square), SLF15 (filled triangle), SLF13 (filled diamond), SLF16 (filled circle), SLF14 (open square), and SLF10 (open diamond). Panel B depicts classification accuracy for reduced feature subsets using plurality voting. The accuracy obtained using plurality voting was averaged on 1000 random trials of sets of 10 images drawn from each class in the test set for various numbers of features from SLF8 (filled square), SLF15 (filled triangle), SLF13 (filled diamond), SLF16 (filled circle), SLF14 (open square), and SLF10 (open diamond).

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BMC Bioinformatics

ISSN: 1471-2105

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