I have been studying machine learning for past three months and came across the statement “Machine learning models can be classified as generative or descriptive, probabilistic vs non-probabilistic and parametric vs non-parametric.”

I have tried to classify all the models based on my understanding as given in table.

Table

Can someone confirm if I have the this categorization done correctly. I understood the fact that kernels are non-parametric, but what about the remaining two categories?