Timeline for Issues with regression and prediction
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jun 12, 2014 at 20:25 | vote | accept | Zack Newsham | ||
| S Jun 12, 2014 at 12:33 | history | suggested | Waldir Leoncio | CC BY-SA 3.0 |
Code and list formatting.
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| Jun 12, 2014 at 12:23 | review | Suggested edits | |||
| S Jun 12, 2014 at 12:33 | |||||
| Jun 12, 2014 at 9:56 | comment | added | Glen_b | You might benefit from chapter 7 of Elements of Statistical Learning (you'll see the 10th printing of the book is downloadable there) | |
| Jun 12, 2014 at 9:48 | comment | added | Glen_b | You have a badly overfitted function. The advice you got about having a hold-out subsample and trying out-of-sample prediction has saved you from making a serious error. The Gamma glm advice is probably sensible, but it's no good to you until you're clear on how to go about avoiding overfitting. Consider using cross-validation, for example. | |
| Jun 12, 2014 at 9:21 | answer | added | Scortchi♦ | timeline score: 3 | |
| Jun 12, 2014 at 5:51 | history | asked | Zack Newsham | CC BY-SA 3.0 |