Continuous variable

Continuous variables are numeric values that can take any point within a given range. They provide a precise way to measure quantitative attributes in a dataset.

Example

Consider a dataset with the weights of different fruits. Weight is a continuous variable because it can take any value within a range, depending on the fruit’s size and type. When working with continuous variables in machine learning, you often need to preprocess the data, such as normalizing or scaling the values, to make it compatible with the model and improve performance.