What is Regression ?

What is Regression?

Regression comes under supervised learning and it involves predicting a real-valued output. Classification predicts a discrete-valued output.

Key terms

Input column or Independent features

The columns that are used to predict the output column are called the input columns or independent features. These are denoted as $x_1$, $x_2$, $x_3$, … $x_n$ where $x_1$ is the first feature and so on. Note that $n$ denotes the total number of features or dimensions.

Output column or dependent feature

The column that is to be predicted is called the output column or dependent feature. It is denoted as $y$ ...