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Table 5 Comparison of SVM and StarryNite on the validation data set.

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

Metric

CV SVM

Dev SVM

StarryNite

True Positives

3375

3157

3431

True Negatives

282

366

0

False Positives

163

79

445

False Negatives

56

274

0

Sensitivity

98.37

92.01

100.0

PPV

95.39

97.56

88.52

Accuracy

94.35

90.89

88.52

  1. Two sets of SVM results are included: from a collection of SVMs trained via cross-validation on the validation data set ("CV SVM"), and from a single SVM trained on the development set ("Dev SVM")
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BMC Bioinformatics

ISSN: 1471-2105

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