Figure 2.

(a) An illustration showing the superior performance of machine learning models compared with the traditional statistical models using an abstract dataset with two attributes (X₁ and X₂). The data points within this abstract dataset consist of two classes: one represented with a transparent circle and the second class illustrated with a black-filled circle. These data points are non-linear but separable. Traditional statistical models (e.g., ordinary least square regression) will not accurately separate these data points. However, any machine learning model can easily separate them without making errors; and (b) Traditional programming versus machine learning.