Timeline for Big number of false positives in binary classification
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 8 at 17:56 | answer | added | Dave | timeline score: 1 | |
| Jan 5, 2017 at 19:15 | comment | added | D.W.♦ | cs.stackexchange.com/q/68281/755 | |
| Jan 3, 2017 at 18:38 | review | Close votes | |||
| Jan 19, 2017 at 3:03 | |||||
| Jan 3, 2017 at 17:57 | answer | added | D.W.♦ | timeline score: 1 | |
| Jan 3, 2017 at 17:37 | comment | added | D.W.♦ | Welcome to CS.SE! What does "the non-food class gives me imbalanced accuracy" mean? Also, where did you read that you should train the network with balanced classes? Have you tried using any diagnostics to check for overfitting, or using any techniques to combat overfitting? | |
| Jan 3, 2017 at 10:06 | review | First posts | |||
| Jan 3, 2017 at 18:22 | |||||
| Jan 3, 2017 at 10:05 | history | asked | user64089 | CC BY-SA 3.0 |