Timeline for random forest how to use the results
Current License: CC BY-SA 4.0
10 events
| when toggle format | what | by | license | comment | |
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| Aug 21, 2018 at 14:57 | history | edited | mkt | CC BY-SA 4.0 |
added 196 characters in body
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| Aug 21, 2018 at 14:43 | history | edited | mkt | CC BY-SA 4.0 |
deleted 8 characters in body
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| Jul 8, 2016 at 12:30 | comment | added | progster | I think so, the point 1) is now very clear thanks! about the point 2) and 3) I'm still reading stuff, I think your contribution is useful, but before asking more stuff, I want to study a little bit the problem! until now thanks again | |
| Jul 8, 2016 at 6:44 | comment | added | mkt | @progster Does this address your questions? | |
| Jul 7, 2016 at 12:01 | comment | added | mkt | Ah, you're right, that is 'group' in my example. This prediction goal only makes sense if you do not have the 'target variable' in your new data. If you do, there's nothing to predict. | |
| Jul 7, 2016 at 11:54 | comment | added | progster | for 'target variable' I mean the outcome you want to predict (like "churn" vs "not churn", like "y" in logistic regression equation, in your example should be "group", right? | |
| Jul 7, 2016 at 11:41 | comment | added | mkt | 1) I'm not exactly sure what you mean by 'target variable'. The new data must have any variables you trained the random forest on. 2) Exactly. You do not get an simple parametric relationship from the random forest. Each underlying tree has a sequence of rules that when aggregated across trees gives you a prediction. But because the hierarchy differs from tree to tree, I do not think that the rule cannot be easily simplified to an equation. | |
| Jul 7, 2016 at 11:09 | comment | added | progster | I think that is more clear now, I don't have a target variable in newdats, you simply apply the trained model to new data, correct? if it's correct it was the situation I was looking for. On the other hand I guess that "varImpPlot(rf)" could give and idea of which variable is more important, but not the exact rule that explicate variable relationship (like an equation in logistic regression or tree rules) | |
| Jul 7, 2016 at 8:05 | history | edited | mkt | CC BY-SA 3.0 |
Edited for clarity
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| Jul 7, 2016 at 7:59 | history | answered | mkt | CC BY-SA 3.0 |