TRAINING SAMPLE SET GENERATION FROM IMBALANCED DATA IN VIEW OF USER GOALS
One embodiment provides a method, including: receiving a sample set for training a machine-learning model, wherein the sample set includes a plurality of classes, wherein classes within the plurality of classes have an imbalance in a number of samples; creating an enlarged minority class by generati...
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Sprache: | eng |
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