Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
good when you have large amount of data
usually use 1/5 to 1/3 of the data as testing data set.
suitable when …
Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!
Regression refers to problems where the response (output) variable is continous while classfication refers to problems where the response (output) variable is discrete.
Generally speaking fitting gression to classification problems is …