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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.