Timeline for What does the oob decision function mean in random forest, how get class predictions from it, and calculating oob for unbalanced samples
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| Feb 1, 2021 at 10:42 | comment | added | Jonathan Ng | Ok! thanks that helps a lot! =) | |
| Feb 1, 2021 at 10:41 | vote | accept | Jonathan Ng | ||
| Feb 1, 2021 at 9:16 | comment | added | 10xAI | Yes for all 4 points. You may mark the Answer as accepted. Thanks. | |
| Feb 1, 2021 at 9:07 | comment | added | Jonathan Ng | Thanks, that helps me a lot! =). Since OOB is calculated using accuracy, it would be possible to calculate OOB using another metric besides accuracy right? So basically I can do the following: 1) get class probabilities from OOB 2) get class predictions 3) calculate F1 score from such predictions 4) the above would get me the OOB score calculated using F1 right? | |
| Jan 30, 2021 at 17:46 | history | answered | 10xAI | CC BY-SA 4.0 |