why is decision tree different from a categorical one why are explanatory variables useful for decision trees which of the following is a continous explanatory variable? when training decision trees what is the best way to do this? when to use continous explanatory variable in decision tree when to use continous explanatory variables for decision tree what is the best way to train a decision tree difference between categorical and numeric variables what is the difference between categorical and non categorical variables in a decision tree? is it better to use continous explanatory or categorical variables? what variable can be used to train decision trees is discretizing a dependent variable better than discretizing it which variable is a continous explanatory variable? why do decision trees use continous variable in training? what variables make up the dependent variable what is the difference between a categorical and a numerical variable in a decision tree what is the difference between a categorical and dependent variable difference between categorical and non-categorical variable what is the difference between continous and categorical variable can you do decision tree using discrete explanatory variables