Classification tasks belong to the supervised learning branch of ML. These kinds of tasks are the most widely used in applications in industry and academia. Here are just a few examples of classification tasks in some domains of application:
- Direct marketing: Predict whether a customer will give a positive or a negative response to a campaign
- Medicine: Predict whether a patient is healthy or is sick; or, for example, which kind of cancer the patient has
- Insurance: Classify clients by risk level; for instance, low, average, or high risk
- Telecommunication and other industries: Churn models are classification models that predict which customers will switch to another provider
- Education: Predict which students will drop out from a program
- Email services: Classify emails that go to different places such as inbox, spam, social, and promotions
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