Timeline for Loss Matrix Equivalent with Neural Networks and random Forest
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
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| Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
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| Apr 28, 2013 at 4:38 | vote | accept | Faydey | ||
| Apr 27, 2013 at 7:56 | comment | added | Faydey | He gives a gradient boosting method as an alternative. I guess I'll try downloading the source for randomForest and see what I'd have to change to give it cost sensitivity. Looking at the documentation on the neuralnet package, I believe It allowed defining a custom loss function. If that's the case, and there's some example I can work from, it shouldn't be too bad to get this done. also, limiting responses to 5 minutes of editing is silly when a carriage return sends the comment in. | |
| Apr 27, 2013 at 7:49 | comment | added | Faydey | It looks by the thread linked that randomForest() in R doesn't have the necessary means implemented. He gives a gradient boosting method as an alternative. | |
| Apr 27, 2013 at 5:17 | history | answered | Matt Krause | CC BY-SA 3.0 |