An example of a classification task is: based on the size of each tumor, determine if each tumor is malignant (cancerous) or not. In this scenario, the goal is to classify tumors into two categories – malignant or benign – based on a specific feature, which is the size of the tumor.
Classification tasks involve assigning predefined labels or categories to input data based on certain characteristics or features. This falls under the broader category of supervised machine learning, where the algorithm learns from labeled data (tumor size and corresponding malignancy status) to make predictions or classifications on new, unseen data. The classification model would be trained to distinguish between malignant and benign tumors, helping in diagnostic decision-making in healthcare.