Timeline for Decision tree for output prediction
Current License: CC BY-SA 3.0
6 events
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| Jul 14, 2013 at 23:23 | comment | added | sashkello | mymodel.train(x, y) - this is all you need to do. At least for starters. It is a machine learning method, so let machine do all the job for you. If you want to do it manually, you are to have lots of read on how it works etc. All the standard methods are already encoded in many libraries, don't redo it again, there is no need... | |
| Jul 14, 2013 at 14:16 | comment | added | Bijoy | thanks for giving a more detailed answers. For long i thought that there could exist a mathematical equation in decision trees. now another doubt i am having is regarding using the decision trees in a Random forest. Random forest contain many decision tress.. how do you define so many different decision trees for a dataset eg. for three input and one output ? Do you just change splitting condition at nodes?how exactly do you make random forest of trees? | |
| Jul 14, 2013 at 0:48 | comment | added | sashkello | I.e., most popular method is Random Forest which would be extremely hard to visualize and interpret because of its often huge size. Do you care to see 100 parameters? I wouldn't. | |
| Jul 14, 2013 at 0:39 | comment | added | sashkello | Decision tree is your equation. You can print it out and see it. It will look like a set of conditions. (as @Wake2Sleep duly mentions this is not the best way for continuous variable prediction though). BUT do you really need to see it? If all you need is function connecting two variables all you care is having f(x) and an ability to enter any x in there and find y. All of it can be inside computer, you don't need to understand the equation to use it. | |
| Jul 13, 2013 at 23:25 | comment | added | Bijoy | This is kind of what i want to know.. in a regression, there is a equation connecting x and y.. Is there a similar mathematical equation in decision trees also.?? if it is there,how can i build it? | |
| Jul 13, 2013 at 1:01 | history | answered | sashkello | CC BY-SA 3.0 |