December 2018
Intermediate to advanced
318 pages
8h 28m
English
Content preview from Hands-On Machine Learning for Cybersecurity
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Cluster-based oversampling
This approach to addressing imbalanced data uses K-mean clustering. The clustering algorithm is applied to both the majority class and the minority class in which each class is oversampled, such that each class has the same number of data elements. Though this is an efficient method, it suffers from the issue of overfitting.
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