Imbalanced data refers to a situation where the number of instances of one class significantly outnumbers the instances of other classes. In cancer research, this often occurs when there are far more _non-cancerous_ cases compared to _cancerous_ cases. This imbalance can lead to biased models that are highly accurate for the majority class but poorly predictive for the minority class, which is often the focus in cancer studies.
