why do i need different factors in decision tree why is decision tree a bit different from r when do you change the factors in the decision tree? which attribute in a decision tree should be cut for each attribute in the algorithm? why should you set the attributes for decision trees in r what is the difference between a decision tree and an attribute how to select factors in a decision tree how to set a decision tree of factors how do you choose the best factor to use in a decision tree how to cut factors when making a decision tree how to select a decision tree factor can the r algorithm decide the thresholds for an attribute why should an algorithm decide what attributes to cut how to cut a decision tree why do you need to cut factors in r decision tree can you set factors in a decision tree in r when setting criteria in a decision tree what does the attribute set do? how can you cut attributes in a decision tree when you are using an algorithm for a decision tree, how would you decide how to use arizona decision tree