What is binary classification?

This article explains the Machine Learning term Binary Classification and Binary Classification as a concept within the AI & Analytics Engine

Binary Classification is a type of Classification task, where there are only two possible classes or outcomes to predict. Additionally, between the two possible classes, one class is the outcome of interest. The outcome of interest is known as a positive class label. In simpler terms, it is a kind of problem where one needs to accurately predict the answer to a yes or no question about entities.

Examples of Binary Classification

• Predicting whether a customer will default his mortgage repayments,

• Predicting whether a person will exit his internet plan upon expiry of his contract, and

• Predicting whether a credit-card transaction is normal or the result of card theft

Binary Classification within the AI & Analytics Engine

In the AI & Analytics Engine, you can build binary classification models in the the app builder pipeline, where you’ll need to upload your data and choose the column to predict. If the chosen column has two classes, the Engine will automatically recommend binary classification as the prediction type as the most suitable.