Timeline for Building an efficient feature vector
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Nov 2, 2019 at 19:41 | vote | accept | J.D. | ||
| Oct 29, 2019 at 20:55 | comment | added | J.D. | Thank you again for the answer, I have edited the post. | |
| Oct 29, 2019 at 20:23 | comment | added | Victor Oliveira | Have you tried using Tf-IDf Vectorizer? Also, can you tell us how is your datataset's balance? That is, the number of instances for each class in Y vector. | |
| Oct 29, 2019 at 19:37 | comment | added | J.D. | thank you it was really helful. I have some improvements, but still the maximum I can reach is 0.56 of accuracy. By using random forests I got 0.55 so better then before. My objective is to reach at least 0.7 or ideally also 0.8 or 0.9, but I am trying and trying but I don' t get a solution. Maybe a good idea would be to build a feature vector that keeps the order of the operation as they are performed, but don't know how to do it. Can I ask you if you have any idea on how to do this? Thank's in advance. | |
| Oct 29, 2019 at 11:56 | history | answered | Victor Oliveira | CC BY-SA 4.0 |