Timeline for Next best predictions in decision tree
Current License: CC BY-SA 4.0
15 events
| when toggle format | what | by | license | comment | |
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| May 13, 2018 at 23:43 | vote | accept | Vamsiga | ||
| May 13, 2018 at 21:32 | history | edited | Mankind_2000 | CC BY-SA 4.0 |
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| May 13, 2018 at 18:08 | history | edited | Mankind_2000 | CC BY-SA 4.0 |
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| May 13, 2018 at 1:47 | history | edited | Mankind_2000 | CC BY-SA 4.0 |
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| May 13, 2018 at 0:47 | history | edited | Mankind_2000 | CC BY-SA 4.0 |
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| May 13, 2018 at 0:24 | history | edited | Mankind_2000 | CC BY-SA 4.0 |
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| May 12, 2018 at 23:40 | history | edited | Mankind_2000 | CC BY-SA 4.0 |
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| May 12, 2018 at 23:37 | comment | added | Mankind_2000 | @Vamsiga If you are starting learning you don't need to do it yourself, Scikit has built this functionality for many of the the classifiers. I modified my answer for more details regarding implementation. Also, what i meant was to turn your original labels/ multi-class column into binary classification problem. i.e. if your original label column was c_multi =[1,0,2,1,1] which has 3 classes into binary, c_bin = [d,0,d,d,d] where d is dummy class and its not equal to 0. | |
| May 12, 2018 at 23:29 | history | edited | Mankind_2000 | CC BY-SA 4.0 |
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| May 11, 2018 at 23:20 | comment | added | Vamsiga | @Mankind_008 I'm a beginner, could you please explain in more detail using my data as example how to train model 4 times using logistic regression. I couldn't understand what you mean by keeping predicted block intact and turning rest into dummy class. | |
| May 11, 2018 at 15:46 | history | edited | Mankind_2000 | CC BY-SA 4.0 |
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| May 11, 2018 at 9:02 | comment | added | bradS |
Agree that you need multi-class classification. An alternative to random forest could be XGBoost, where one of the objective targets is multi:softprob - this will output the likelihood of each class, so you can choose first, second, third,..., best.
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| May 11, 2018 at 3:06 | history | edited | Mankind_2000 | CC BY-SA 4.0 |
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| May 11, 2018 at 2:55 | history | edited | Mankind_2000 | CC BY-SA 4.0 |
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| May 11, 2018 at 2:29 | history | answered | Mankind_2000 | CC BY-SA 4.0 |