Handling Class Overlap and Imbalance to Detect Prompt Situations in Smart Homes

The class imbalance problem is a well-known classification challenge in machine learning that has vexed researchers for over a decade. Under-representation of one or more of the target classes (minority class(es)) as compared to others (majority class(es)) can restrict the application of conventional classifiers directly on the data. In addition, emerging challenges such as overlapping classes, make class imbalance even harder to solve. Class...