October 2017
Beginner to intermediate
572 pages
26h 1m
English
A margin is the measurement of certainty of the classification; it is computed by the support of the correct class and the maximum support of the incorrect class. The formula of margins can be formulated as:
![]()
Here, the margin of the xi sample equals the support of a correctly classified sample (c denotes the correct class) minus the maximum support of a sample that is classified to class j (where j≠c and j=1...k). Therefore, correctly classified examples will have positive margins and misclassified examples will have negative margins. If the margin value is close to one, it means that correctly classified examples have a high ...
Read now
Unlock full access