Roughly, the larger the magnitude of a feature’s weight, the more important that feature is for classifying the target — assuming all feature values have been normalized to the same range, as mentioned in Sidebar: Simplifying Assumptions in This Chapter. By the same token, if a feature’s weight is near zero the corresponding feature can usually be ignored or discarded.
