Ontology highlight
ABSTRACT:
SUBMITTER: Teh K
PROVIDER: S-EPMC7737960 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Teh Kevin K Armitage Paul P Tesfaye Solomon S Selvarajah Dinesh D Wilkinson Iain D ID
PloS one 20201215 12
One of the fundamental challenges when dealing with medical imaging datasets is class imbalance. Class imbalance happens where an instance in the class of interest is relatively low, when compared to the rest of the data. This study aims to apply oversampling strategies in an attempt to balance the classes and improve classification performance. We evaluated four different classifiers from k-nearest neighbors (k-NN), support vector machine (SVM), multilayer perceptron (MLP) and decision trees (D ...[more]