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Figure 6 | BMC Bioinformatics

Figure 6

From: Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene expression in the developing C. elegans embryo

Figure 6

Two feature selection experiments. (a) The figure plots the mean difference in accuracy, across 10 cross-validation splits, of an SVM that uses all features compared to an SVM with some features removed. The number of features eliminated is given on the x-axis. Bars above the y-axis represent SVMs that yield better performance than the baseline SVM, and vice versa. Error bars correspond to standard deviations. (b) This figure is similar to panel (a), except that features are considered in groups, as listed in Table 1. Each blue bar compares the accuracy of the 70-feature SVM to an SVM trained from a single feature group, whereas each red bar compares the full SVM to an SVM trained from all feature groups but one.

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BMC Bioinformatics

ISSN: 1471-2105

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