Data Science, Kernel Trick, Nonlinear Models, Machine Learning, Data Transformation.
a training accuracy of ~10%, only. As expected, the problem is due to its nonlinearity too complex to be solved by simple linear regression and the model does strongly underfit. In contrast, the same model applied in the higher dimensional space results in an accuracy of 100%, which means that