Hi Guys,
I have a non linear dataset with around 25 features and 2 target variables to be predicted. The data points have a wide spread. It is a regression problem. The attached image shows the non-linear distribution of the data which shows how the data is dispersed (Target1 vs each feature).
I have 2 questions:


I want to know if CNN networks with non-linear activation layers can be used to predict multiple target variables in such non-linear patterns?


Do I need to use any specific CNN architecture (encoder-decoder may be) to handle non-linear regression with dispersed pattern as in the pairplot image?



distribution - features vs target1387×91 42.3 KB