What is it about?
We propose a mathematical model using an empirical approach applied to the well known Spam-base data set and random forest classification approach including its adoption with SMOTE representation learning technique. We have presented a linear model which describes the relationship between true positive classification rate and the imbalanced ratio between the majority and minority classes.
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This page is a summary of: Modeling of class imbalance using an empirical approach with spambase dataset and random forest classification, January 2014, ACM (Association for Computing Machinery),
DOI: 10.1145/2656434.2656442.
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