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. 2007 Sep 14;8:340. doi: 10.1186/1471-2105-8-340

Table 2.

Test set confusion matrix for the SVM-RBF classifier

True Class

Predicted Class PS WS
PS 549 78
WS 115 268

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.