A balanced accuracy function for epistasis modeling in imbalanced datasets using multifactor dimensionality reduction

By Digna R. Velez, Bill C. White, Alison A. Motsinger, William S. Bush, Marylyn DeRiggi Ritchie, Scott M. Williams, Jason H. Moore. Genetic Epidemiology, 2007

398 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/89023a0af0c67f6c93e3cf8915b91757ee0664c2

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Citations in the corpus

Detecting gene-gene interactions using a permutation-based random forest method (2016, background): “(1) Most machine learning methods, including RF and MDR, are not well suited for unbalanced numbers of cases and controls [28, 41].”
Detecting gene-gene interactions that underlie human diseases (2009, neutral): “Data-mining methods typically have problems dealing with incomplete or unbalanced data sets; for example, when the number of cases and controls are unequa”
The Balanced Accuracy and Its Posterior Distribution (2010, methodology): “Unlike the measure described in [6], the balanced accuracy used here is symmetric about the type of class.”
Detecting weak and strong Islamophobic hate speech on social media (2018, background): “This is a relatively new metric put forward by Velez et al. which combines specificity and sensitivity (Velez et al., 2007).”
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science (2016, background): “and 25% holdout sets, where the performance reported here is the balanced accuracy [21] on the holdout sets.”
Bayesian mixed-effects inference on classification performance in hierarchical data sets (2012, background): “Unlike the measure described by Velez et al. (2007), the balanced accuracy is symmetric with respect to the type of class.”
Autostacker: a compositional evolutionary learning system (2018, methodology): “The test accuracy is calculated using balanced accuracy [33].”
The Role of Balanced Training and Testing Data Sets for Binary Classifiers in Bioinformatics (2013, methodology): “The balanced accuracy, BACC, while nearly flat with respect to the testing data sets, is highly divergent with respect to the training data sets.”