Timeline for How to solve this regression problem?
Current License: CC BY-SA 3.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Sep 12, 2017 at 9:40 | comment | added | Josh | @Emre the gaps at the bottom are because there are times where there is a zero resource requirement. There's a lot of data on this chart, which makes it looks like it's a solid plane, but really it's a line with very fine resolution. | |
| Sep 9, 2017 at 5:28 | comment | added | user-116 | @Josh Since it's interpolation you should try polynomial regression. That would be your safest bet. Because you need to account for the various irregular variations. It would be nice if you had a statistical model which could give a better insight into your variables, but since that might not be the case you should start with polynomial regression. | |
| Sep 8, 2017 at 18:57 | answer | added | Dave Kielpinski | timeline score: 2 | |
| Sep 8, 2017 at 16:55 | answer | added | Brian Spiering | timeline score: 1 | |
| Sep 8, 2017 at 16:42 | comment | added | Emre | Read about interaction terms and en.wikipedia.org/wiki/Polynomial_regression Why do some stems seemingly have gaps at the bottom? Is z an interval rather than a scalar? | |
| Sep 8, 2017 at 14:13 | comment | added | Josh | @RahulAedula All historic times are accounted for (they're bucketed into 10 minute slots). The chart is missing data as I've sampled for brevity. I do not think I'll have to interpolate to extrapolate. | |
| Sep 8, 2017 at 14:03 | comment | added | user-116 | In the figure mentioned above have all the possible times been accounted for? What I mean to ask is in your prediction are you going to interpolate to extrapolate? | |
| Sep 8, 2017 at 12:55 | history | asked | Josh | CC BY-SA 3.0 |