Timeline for Evaluation methods for multi-class classification
Current License: CC BY-SA 4.0
15 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| May 8, 2018 at 7:04 | answer | added | Rafael Muñoz-Mas | timeline score: 3 | |
| May 5, 2018 at 13:20 | vote | accept | David Masip | ||
| May 5, 2018 at 13:20 | vote | accept | David Masip | ||
| May 5, 2018 at 13:20 | |||||
| May 5, 2018 at 13:20 | vote | accept | David Masip | ||
| May 5, 2018 at 13:20 | |||||
| May 5, 2018 at 13:19 | comment | added | Green Falcon | Yes, that is its usecase. | |
| May 5, 2018 at 13:17 | comment | added | David Masip | I know, but for every class you will have a one vs all f1 score | |
| May 5, 2018 at 13:17 | comment | added | Green Falcon | One vs. all is an extension of binary classification where you label the data to zeros and ones for each class for different classes. | |
| May 5, 2018 at 13:14 | comment | added | David Masip | But one vs all is not single-number. Is it? | |
| May 5, 2018 at 12:31 | history | edited | Green Falcon | CC BY-SA 4.0 |
evaluation methods are not "metrics". They don't necessarily satisfy the conditions of metrics.
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| May 5, 2018 at 12:24 | answer | added | Green Falcon | timeline score: 2 | |
| May 5, 2018 at 10:36 | answer | added | timleathart | timeline score: 2 | |
| May 5, 2018 at 10:21 | comment | added | Green Falcon | It can be extended like one vs. all | |
| May 5, 2018 at 10:03 | comment | added | David Masip | As far as I know it is for binary classifiers | |
| May 5, 2018 at 9:31 | comment | added | Green Falcon | Are you familiar with F1 score? | |
| May 5, 2018 at 8:39 | history | asked | David Masip | CC BY-SA 4.0 |