Cancer detection is a popular example of an imbalanced classification problem because there are often significantly more cases of non-cancer than actual cancer. A standard imbalanced classification dataset is the mammography dataset that involves detecting breast cancer from radiological scans, specifically the presence of clusters of microcalcifications that appear bright on a mammogram. This dataset […]
The post Imbalanced Classification Model to Detect Mammography Microcalcifications appeared first on Machine Learning Mastery.
Comments
Post a Comment