While reading about ensemble methods I came upon the following paragraph:
I have a few questions regarding the highlighted parts,which are as follows:
1.What is this space of Hypotheses?
2.Does algorithms really generate many different H’s?
3.Again there is a true hypothesis,so the others were not true but still used by the method,how?
My confusion is from my understanding that there is generally one hypothesis,so how come there are multiple here.Or is it the case that since independent variables are many,they can give different values of Y which are taken to be as the Hypotheses??
Can somebody please clarify these points!!