Timeline for How can I compare my model to a technically invalid model?
Current License: CC BY-SA 3.0
3 events
| when toggle format | what | by | license | comment | |
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| Sep 29, 2015 at 19:17 | review | Late answers | |||
| Sep 29, 2015 at 20:06 | |||||
| May 29, 2012 at 21:21 | comment | added | Jack Tanner | I would also do cross-validation, except instead of log likelihood, I would compare root mean squared error. Then you can compare the improvement in models using the same units as the original data. Also, make sure to use the same train/test folds for all models. | |
| May 19, 2012 at 1:10 | history | answered | Ting Qian | CC BY-SA 3.0 |