Skip to main content
Fig. 7 | Cancer Imaging

Fig. 7

From: Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinoma

Fig. 7

The permutation distribution of the estimate using an SVM with a Gaussian radial basis kernel function (repetition times: 10,000). a Classification of 0–6 months post-RT versus controls. b Classification of 6–12 months post-RT versus controls. c Classification of > 12 months post-RT versus controls. X- and Y-labels represent the generalization rate and occurrence number, respectively. GR0 is the generation rate obtained by the classifier trained on the correct class labels. With the generalization rate as the statistic, this figure reveals that the classifier learned the relationship between the data and the labels with a probability of being incorrect of 0.0001

Back to article page