Data Science, Kernel Trick, Nonlinear Models, Machine Learning, Data Transformation.
confirm this visual result, we will apply linear regression to the problem, first in feature-space, and second in kernel-space. Also, we will compare the accuracy train scores (defined as (𝑇𝑃+𝑇𝑁)/(𝑇𝑃+𝑇𝑁+𝐹𝑃+𝐹𝑁)) of both models. Because the problem is nonlinear and regression is only capable of