Timeline for How to estimate confidence level for SVM or Random Forest?
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Apr 23, 2014 at 17:50 | comment | added | Marc Claesen | For SVM you can use the distance to the separating hyperplane as a measure of confidence. The further, the more confident. Points within the margin are dodgy classifications. | |
| Apr 23, 2014 at 17:46 | vote | accept | pirotex | ||
| Apr 23, 2014 at 17:45 | answer | added | Ryan Bressler | timeline score: 7 | |
| Apr 23, 2014 at 12:44 | answer | added | Deathkill14 | timeline score: 12 | |
| Apr 23, 2014 at 12:02 | comment | added | chl | It sounds like you mean "confidence level" in a sense that might be different from common statistical terms (like, e.g., a 95% confidence interval for a proportion or mean estimated from a random sample). What distinguish 0.92 from, say, 0.75 -- if these are predicted probabilities to belong to a particular class, given a cut off of 0.5? | |
| Apr 23, 2014 at 11:33 | review | First posts | |||
| Apr 23, 2014 at 11:42 | |||||
| Apr 23, 2014 at 11:15 | history | asked | pirotex | CC BY-SA 3.0 |