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Table 2 Test set confusion matrix for the SVM-RBF classifier

From: Impact of image segmentation on high-content screening data quality for SK-BR-3 cells

 

True Class

 

Predicted Class

PS

WS

PS

549

78

WS

115

268

  1. Of 1009 test cases, 80.9% were correctly classified by the SVM-RBF classifier. The confusion matrix shows that accuracy of classification for poorly segmented (PS) objects was somewhat better than that for well-segmented (WS) objects.
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BMC Bioinformatics

ISSN: 1471-2105

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