Identify classification machine learning scenarios

Classification is a supervised machine learning technique that essentially puts values into groups (classes) based on a criteria. There are two main types of classification techniques: binary and multiclass. Let’s look at both of them.

Binary classification

You may have heard the terminology binary before and know that it’s the language of ones and zeroes that computers use to process information. Binary simply means that a data item can be set to one of two values. For example, 0 or 1 and true or false are binary selections.

In the machine learning context, binary classification works similarly—using the value of a feature (x, just like in regression machine learning), the model predicts whether a label (y) is 0 or 1. Binary classification categories data into mutually exclusive groups based on the feature data.

Example

Let’s look at a sample data set that might be used for training a binary...