Using Random Forest to Learn Imbalanced Data
sampling seems to have an edge over over-sampling. However, down-sampling the majority class may result in loss of information, as a large part of the majority class is not used. Random forest inspired us to ensemble trees induced from balanced down-sampled data. The Balanced Random Forest (BRF) algorithm is shown below: 1.
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