Continuous variable

Resembling the unbroken flow of a river, continuous variables represent numeric values that can take any point within a given range, providing a nuanced and precise measure of quantitative attributes within a dataset.

Example

Consider a dataset containing information about the weights of various fruits. The weight of a fruit is a continuous variable, as it can take any value within a certain range, depending on the size and type of the fruit. When working with continuous variables in machine learning, it is often necessary to preprocess the data, such as normalizing or scaling the values, to ensure compatibility with the model and improve its performance.