Timeline for How to measure a classifier's performance when close to 100% of the class labels belong to one class?
Current License: CC BY-SA 3.0
2 events
| when toggle format | what | by | license | comment | |
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| Aug 1, 2013 at 11:21 | comment | added | Frank Harrell | That is an improper scoring rule that uses only 1 bit of information from the predictions. Improper scoring rules are optimized by bogus models. | |
| Aug 1, 2013 at 6:22 | history | answered | mvherweg | CC BY-SA 3.0 |