Weka Tutorial 33: Random Undersampling (Class Imbalance Problem)

Amir
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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
8 سال پیش در تاریخ 1395/12/02 منتشر شده است.
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