If I had a set of parameters/variables and a set of output values. How could I know which parameters are actually contributing to the cause of the output values? Could I use feature selection methods like the wrapper methods just for this purpose? (Sorry if this was a dumb question) If so, which feature selection models would you guys suggest? If not, what can I do to achieve this purpose?
Which ML algorithms or models are good for analyzing continuous variables? Specifically, I am trying to find correlation between variables and output. I can only think of linear regression, regression trees, and KNN. Any other suggestions? Best if answered in a list!
If I have a relatively small data set, what can I do to make up for that?
Thank you guys so much in advance.