Skip to main content
. Author manuscript; available in PMC: 2020 Apr 1.
Published in final edited form as: Brain Imaging Behav. 2018 Aug 28;13(5):1361–1374. doi: 10.1007/s11682-018-9942-9

Figure 4.

Figure 4

M4. Individual weights from a linear SVM trained on features including demographic and clinical covariates, grey matter volume, lesion count and total lesion load; based on T1-Gd MRI data of IFN-b treated patients (converters: 50, non-converters: 49). Positive (negative) weights indicate that a larger feature value will drive prediction towards conversion (non-conversion). For sex, being female (male) corresponds to the positive (negative) axis. Weights are scaled relatively to the largest individual weight, which is set equal to one. Note that weights should only be interpreted qualitatively, not quantitatively.