Weka Tutorial 33: Random Undersampling (Class Imbalance Problem)
3:58
YouTubeRushdi Shams
Weka Tutorial 33: Random Undersampling (Class Imbalance Problem)
The tutorial demonstrates how to undersample the majority class in Weka so that the number of instances in each class becomes exactly the same. Random undersampling (RUS) is a popular method to overcome class imbalance problems. For further readings: http://en.wikipedia.org/wiki/Oversampling_and_undersampling_in_data_analysis
26.4K viewsDec 12, 2013
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