Timeline for How to choose the right number of parameters in Logistic Regression?
Current License: CC BY-SA 3.0
10 events
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| Mar 27, 2015 at 14:18 | comment | added | snoram | One option to choose between few models: minimise the cross-validated error in your (training) data set. | |
| May 9, 2014 at 14:17 | history | edited | Frank Harrell |
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| May 9, 2014 at 12:45 | comment | added | probabilityislogic | Note that regularisation isn't a "fix all", especially the typically use L1 and L2 penalties. These suffer in "sparse" scenarios, where say 5-10 variables out of 100 are non-zero. | |
| S May 9, 2014 at 12:00 | history | suggested | M. Berk | CC BY-SA 3.0 |
Improved English
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| May 9, 2014 at 11:55 | review | Suggested edits | |||
| S May 9, 2014 at 12:00 | |||||
| May 9, 2014 at 11:45 | answer | added | Frank Harrell | timeline score: 5 | |
| May 9, 2014 at 11:15 | comment | added | Tropa | Actually I want to know how to choose the correct no of theta's. | |
| May 9, 2014 at 11:14 | history | edited | Tropa | CC BY-SA 3.0 |
added 81 characters in body; edited tags
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| May 8, 2014 at 18:30 | history | tweeted | twitter.com/#!/StackStats/status/464472352932511744 | ||
| May 8, 2014 at 18:09 | history | asked | Tropa | CC BY-SA 3.0 |